Research software engineer on face recognition

Duration of the contract: 18 months.
Location: INRIA Rhône-Alpes (Grenoble, France)
Salary: 2500 to 3000 € brut (gross) per month

LEAR (Learning and Recognition) is a research team at INRIA’s site in Grenoble in the French Alps, see http://lear.inrialpes.fr. LEAR’s main focus is learning based approaches to visual object recognition and scene interpretation, particularly for object category detection, image retrieval, video indexing and the analysis of humans and their movements.

The research engineer will evaluate and optimize different components for robust face recognition in images and videos that have been developed in the team into a robust and highly efficient set of tools. The components for face detection, feature extraction, metric learning, and recognition, are currently coded partly in Matlab and C, and need to be packaged, optimized, and parallelized where possible.

In a collaboration with a local start-up company you will extensively evaluate the system on public and private data sets, in order to optimize the various design choices of the different components. You will closely collaborate with other team members working on planned (inter-)national projects in which face/person recognition will play an important role.

The ideal candidate

* holds a PhD or engineering degree in Computer Vision and/or Machine Learning
* has proven strong programming and development skills in C(++) and Linux scripting
* has good communication skills in English and French

If interested please provide a cover letter, resume and references to Cordelia.Schmid(at)inria.fr and Jakob.Verbeek(at)inria.fr

Application closes 31 May 2010

Postdoc position in Edinburgh – Machine Learning and Systems Biology

A three years post-doctoral position on machine learning tools for systems biology is available within the Institute of Adaptive and Neural Computation, School of Informatics, University of Edinburgh. The position is funded by a BBSRC award within the European ERA-SysBio SysMO initiative. The aim of this interdisciplinary project, which involves partners in the UK, Germany and the Netherlands, is to achieve a systems biology understanding of the processes by which bacteria adapt to changing environmental conditions. This fundamental scientific question has potentially profound practical repercussions ranging from health (pathogenicity and infection control) to ecology (bacterial remediation of pollution, sustainable biofuel production). In Edinburgh, we will use probabilistic machine learning tools to model the changes in gene regulation and metabolism in the model bacterium E. coli caused by changes in oxygen availability.

The successful applicant will have an excellent background in a quantitative science (maths, physics, computer science) or in engineering. Previous knowledge of machine learning and/or dynamical systems and/or stochastic processes is desirable.

The post is available from 1st June 2010

For further details and to apply online, please go to

http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3012751

Pre-doctoral position in Multimodal Interaction, Pattern Recognition, Computer Vision and Human Language Technology

The Pattern Recognition and Human Language Technology (PRHLT) group of
the Instituto Tecnológico de Informática (Universidad Politécnica de
Valencia) has an opening for a pre-doctoral position in the fields of
Multimodal Interaction, Pattern Recognition, Computer Vision and Human
Language Technology. This position is available for a period of 12
months, with possibility for extension for another 1 year.

REQUIREMENTS AND SKILLS
Candidates to the position offered must be EU nationals or have
residence and/or working permit in Spain. In addition they should
have:

* a high-quality degree in Computer Science, Telecom or Electrical
Engineering, Phisics, or Applied Mathematics,
* experience in at least one of the following research areas:
Multimodal Interaction, Pattern Recognition, Computer Vision, Human
Language Technology,
* strong motivation to conduct research,
* good communication skills in English.

Candidates with their own initiatives and/or research lines will be
highly considered.

SCHEDULE AND APPLICATION PROCEDURE

* Applications are expected from May 11th to May 17th, 2010
* Documentation:
o Application form
(http://www.upv.es/entidades/SRH/conypi/U0499199.pdf)
o Copy of the Identity Card
o Curriculum Vitae
o Certified copy of the Diploma
o Copy of the relevant information included in the CV
(publications, courses,…)
> o Short description of research interests within the MIPRCV areas
* Candidates should present their applications to the “Servicio de
Recursos Humanos – Sección del P.A.S.”, specifying the position id
(C4021), at the “Registro General de la Universidad Politécnica de
Valencia”, Camino de Vera s/n, CP 46071, Valencia (Spain)

For further details contact Dr. José Miguel Benedí (jbenedi at
dsic.upv.es) or see
http://www.upv.es/entidades/SRH/conypi/U0499198.pdf (in Spanish).
Application deadline: May 17th, 2010.

PhD Position on Multimodal Semantic Spaces Available

One PhD position/studentship to study integrated text-vision semantic
spaces is available in the Language, Interaction and Computation track
of the 3-year PhD program offered by the Center for Mind/Brain Sciences
at the University of Trento (Italy):

http://www.cimec.unitn.it/

The PhD program (start date: November 2010) is taught in English by an
international faculty. The Language, Interaction & Computation track is
organized by CLIC, an interdisciplinary group of researchers studying
verbal and non-verbal communication using both computational and
cognitive methods:

http://clic.cimec.unitn.it/

CLIC is part of the larger network of research labs focusing on Natural
Language Processing and related domains in the Trento region, that is
quickly becoming one of the areas with the highest concentration of NLP
researchers in Europe.

The studentship is sponsored by a Google Research Award, and the PhD
project will be carried out as a collaboration between CLIC members and
the Zurich Google Research team.

* Project Outline *

The automated measurement of semantic similarity (similarity in meaning)
between words/concepts through unsupervised statistical semantic space
models such as Latent Semantic Analysis or Topic Models has been a
success story in text mining (see Turney and Pantel, 2010, for a recent
survey).

Today, through the Web, we have access to huge amounts of documents that
contain both text and images. While the use of text to improve image
labeling and retrieval is an active and growing area of research (e.g,
Feng and Lapata, 2008, Moringen, 2008, Mathe et al., 2008, Hare et al.,
2008, Olivares et al., 2008, Wang et al., 2009), in this project we want
to go the other way around, and develop novel techniques to extract
multimodal semantic spaces from texts and images, in order to improve
the measurement of semantic similarity among words. On the one hand, it
has been shown (Baroni and Lenci, 2009) that text-extracted conceptual
descriptions are lacking exactly in those aspects (such as color, shape
and parts of objects) that are likely to be most salient in visual
depictions of the same objects. On the other, a recent trend in computer
vision is to represent images as vectors that record the occurrence, in
the analyzed image, of a discrete vocabulary of “visual words” (Yang et
al., 2007, and references there). This development paves the way to the
integration of visual word co-occurrence features into the classic
text-based vectors of current semantic space models.

The topic is expected to have a strong impact both on applied front, as
a breakthrough in the acquisition of large semantic repositories (we
will explore in particular applications to information retrieval), and
from a theoretical point of view, leading to “embodied” models of
computational learning that are more directly comparable to what human
learners do (Barsalou, 2008, Glenberg and Mehta, 2008).

* Application Information *

The successful candidate will have a strong computational background,
including familiarity with machine learning and/or statistical methods,
and should be familiar with the basics of either natural language
processing or (preferably) computer vision. An interest in exploring the
connections between artificial and natural intelligence and cognition is
also desirable.

The official call of the Doctoral School in Cognitive and Brain Sciences
will been announced shortly, and application details will be available
at the page:

http://portale.unitn.it/drcimec/portalpage.do?channelId=-35529

We strongly encourage a preliminary expression of interest in the
project. Please contact Marco Baroni (marco.baroni(at)unitn.it), attaching
a CV in pdf or txt format, or a link to an online CV.

S+SSPR 2010, 17-21 August, Cesme, Turkey. (Call for participation)

Joint IAPR International Workshops on
Structural and Syntactic Pattern Recognition (SSPR 2010)
and Statistical Techniques in Pattern Recognition (SPR 2010)
Cesme, Izmir, Turkey, August 18-20, 2010

http://www.rvg.ua.es/ssspr2010/

A satellite event of the 20th International Conference of Pattern Recognition, ICPR 2010.
Sponsored by IAPR and PASCAL2.

The next joint Statistical Pattern Recognition and Structural and Syntactic Pattern Recognition Workshops (organised by TC1 and TC2 of the International Association for Pattern Recognition, (IAPR) will be held at Cesme Altin Yunus Hotel, Cesme, Turkey prior to ICPR 2010 (which itself will be held in Istanbul). The joint workshops aim at promoting interaction and collaboration among researchers working in areas covered by TC1 and TC2. We are also keen to attract participants working in fields that make use of statistical, structural or syntactic pattern recognition techniques (e.g. image processing, computer vision, bioinformatics, chemo-informatics, machine learning, document analysis, etc.). Those working in areas which can make methodological contributions to the field, e.g. methematicians, statisticians, physicists etc, are also very welcome.

The workshop will be held in Cesme, which is a seaside resort on the Aegean coast of Turkey. There area has many interesting attractions including excellent beaches, interesting fishing villages, and nearby archaeological remains and historical sites. These include Cesme castle and the remains of the ancient Greek city of Erythrae. Cesme can be reached by bus from the airport at Izmir, which has good flight connections to Istanbul.

We have a varied programme including invited talks, regular paper and poster sessions, panel sessions and technical committee meetings.

Confirmed Invited Speakers:
Narendra Ahuja (UIUC)
Ernesto Estrada (University of Strathclyde)
Fatih Porikli (Mithshubishi Electric Research Laboratories)
Luc Devroye (McGill University)

Special Session

SIMILARITY-BASED PATTERN RECOGNITION: CHALLENGES AND PROSPECTS (see below)

Saturday, August 21, 2010

Organisation

General Chair
Edwin Hancock
University of York
E-Mail: erh(at)cs.york.ac.uk

General co-chair
Ilkay Ulusoy
Middle East Technical University, Ankara
E-Mail: ilkay(at)metu.edu.tr

SPR Programme Chair
Terry Windeatt
University of Surrey
E-Mail: t.windeatt(at)surrey.ac.uk

SSPR Programme Chair
Richard Wilson
University of York
E-Mail: Richard.Wilson(at)cs.york.ac.uk

Publicity Chair
Francisco Escolano
University of Alicante
E-Mail: sco(at)dccia.ua.es

………………………………………………………………………………..
Special Session at S+SSPR 2010

SIMILARITY-BASED PATTERN RECOGNITION: CHALLENGES AND PROSPECTS

Saturday, August 21, 2010

Cesme, Izmir, Turkey

Traditional pattern recognition techniques are centered around the notion of “feature”. According to this view, the objects to be classified are represented in terms of properties that are intrinsic to the object itself. Hence, a typical pattern recognition system makes its decisions by simply looking at one or more feature vectors provided as input. The strength of this approach is that it can leverage a wide range of mathematical tools ranging from statistics, to geometry, to optimization. However, in many real-world applications a feasible feature-based description of objects might be difficult to obtain or inefficient for learning purposes. In these cases, it is often possible to obtain a measure of the (dis)similarity of the objects to be classified, and in some applications the use of dissimilarities (rather than features) makes the problem more viable. In the last few years, researchers in pattern recognition and machine learning are becoming increasingly aware of the importance of similarity information per se. Indeed, by abandoning the realm of vectorial representations one is confronted with the challenging problem of dealing with (dis)similarities that do not necessarily obey the requirements of a metric. This undermines the very foundations of traditional pattern recognition theories and algorithms, and poses totally new theoretical and computational questions.

The SIMBAD project is a EU FP7 project which aims at undertaking a thorough study of several aspects of purely similarity-based pattern analysis and recognition methods, from the theoretical, computational, and applicative perspective. It aims at covering a wide range of problems and perspectives, including supervised and unsupervised learning, generative and discriminative models, and its interest ranges from purely theoretical problems to real-world practical applications.

The SIMBAD consortium is planning to hold a half-day meeting on these topics within the S+SSPR Workshop on the morning of Saturday, 21 August 2010. The meeting will contain the following elements:

a) Presentations from the SIMBAD project about methodologies and philosophies in similarity-based pattern recognition, and the challenges it offers as a subfield in pattern recognition;

b) a panel session involving invited speakers;

c) a session of contributed position papers and poster spotlights.

d) a poster session on specific methods and techniques.

Topics of interest for contributed papers include (but are not limited to):

* Foundational issues
* Embedding and embeddability
* Graph spectra and spectral geometry
* Indefinite and structural kernels
* Characterization of non-(geo)metric behavior
* Measures of (geo)metric violations
* Learning and combining similarities
* Multiple-instance learning
* Applications

The workshop aims to explore the spectrum of alternative approaches, methodologies and challenges in the area, rather than detailed techniques. Contributions can be of two kinds:

a) position papers that aim to stimulate discussion of the philosophy of approach underpinning the field,

b) individual technical contributions on a focused topic.

We aim to have a 90 minute oral session devoted to the contributed position papers and together with shorter spotlights for the technical papers. There will be an open poster session for technical papers, with an opportunity to present a five minute “spotlight” talk. Since there is no published proceedings, authors should feel free to provide position papers or posters on previously published work.

Prospective particpants should send a one-page abstract to

Marcello Pelillo (pelillo(at)dsi.unive.it)

by 1st June 2010.

We plan to make the videos of the lectures available on VideoLectures.

ORGANIZERS

Joachim M. Buhmann, ETH Zurich, Switzerland

Robert P. W. Duin, Delft University of Technology, The Netherlands

Mario A. T. Figueiredo, Insituto Superior Technico, Lisbon,

Portugal Edwin R. Hancock, University of York, UK

Vittorio Murino, University of Verona, Italy

Marcello Pelillo, Ca’ Foscari University, Venice, Italy (chair)

PASCAL Visual Object Classes Recognition Challenge 2010

We are running the PASCAL Visual Object Classes Recognition Challenge
again this year. As in 2009 there are 20 object classes for the main
competitions. Participants can recognize any or all of the classes,
and there are classification, detection and pixel-wise segmentation
competitions. This year there is an action classification taster
competition (new for 2010), as well as a taster competition on person
layout (detecting head, hands, feet). There is also an associated
large scale visual recognition taster competition organized by
www.image-net.org.

The development kit (Matlab code for evaluation, and baseline algorithms)
and training data is now available at:

http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2010/index.html

where further details are given. The timetable of the challenge is:

* 8 May 2010: Development kit (training and validation data plus
evaluation software) made available.

* 31 May 2010: Test set made available.

* 23 August 2010. Deadline for submission of results.

* 11 September 2010: Workshop in association with ECCV 2010, Crete.

Public launch of the iATROS recognition system

The Pattern Recognition and Human Language Technologies group (http://prhlt.iti.es) is proud to announce the public launch of the iATROS recognition system. iATROS is a toolkit that implements preprocessing and feature extraction for speech and handwritten text along with a recognition system based on Hidden Markov Models, N-grams and Finite State models.

iATROS is available from the following web page:

http://prhlt.iti.es/w/iatros

iATROS is implemented as a series of C modules under GPL3 license that can be easily compiled in any Linux environment. iATROS provides standard tools for off-line recognition and on-line speech recognition (based on ALSA modules). iATROS uses HMM on HTK format, N-grams in ARPA format and FSM in PRHLT format. More information is available in the following reference:

Míriam Luján-Mares, Vicent Tamarit, Vicent Alabau, Carlos-D. Martínez-Hinarejos, Moisés Pastor, Alberto Sanchis, and Alejandro Toselli. iatros: A speech and handwritting recognition system. In V Jornadas en Tecnologías del Habla (VJTH’2008), pages 75-78, Bilbao (SPAIN), Nov 2008.

iATROS was implemented in the framework of the iDoc project (TIN2006-15694-C02-01) funded by the Spanish government and FEDER.

Any question or suggestion on the iATROS system can be directed to the e-mail address equipo_iatros@iti.upv.es.

We hope you enjoy using iATROS in your projects!

The iATROS team.

PhD Position on Multimodal Semantic Spaces available

One PhD position/studentship to study integrated text-vision semantic
spaces is available in the Language, Interaction and Computation track
of the 3-year PhD program offered by the Center for Mind/Brain Sciences
at the University of Trento (Italy):

http://www.cimec.unitn.it/

The PhD program (start date: November 2010) is taught in English by an
international faculty. The Language, Interaction & Computation track is
organized by CLIC, an interdisciplinary group of researchers studying
verbal and non-verbal communication using both computational and
cognitive methods:

http://clic.cimec.unitn.it/

CLIC is part of the larger network of research labs focusing on Natural
Language Processing and related domains in the Trento region, that is
quickly becoming one of the areas with the highest concentration of NLP
researchers in Europe.

The studentship is sponsored by a Google Research Award, and the PhD
project will be carried out as a collaboration between CLIC members and
the Zurich Google Research team.

* Project Outline *

The automated measurement of semantic similarity (similarity in meaning)
between words/concepts through unsupervised statistical semantic space
models such as Latent Semantic Analysis or Topic Models has been a
success story in text mining (see Turney and Pantel, 2010, for a recent
survey).

Today, through the Web, we have access to huge amounts of documents that
contain both text and images. While the use of text to improve image
labeling and retrieval is an active and growing area of research (e.g,
Feng and Lapata, 2008, Moringen, 2008, Mathe et al., 2008, Hare et al.,
2008, Olivares et al., 2008, Wang et al., 2009), in this project we want
to go the other way around, and develop novel techniques to extract
multimodal semantic spaces from texts and images, in order to improve
the measurement of semantic similarity among words. On the one hand, it
has been shown (Baroni and Lenci, 2009) that text-extracted conceptual
descriptions are lacking exactly in those aspects (such as color, shape
and parts of objects) that are likely to be most salient in visual
depictions of the same objects. On the other, a recent trend in computer
vision is to represent images as vectors that record the occurrence, in
the analyzed image, of a discrete vocabulary of “visual words” (Yang et
al., 2007, and references there). This development paves the way to the
integration of visual word co-occurrence features into the classic
text-based vectors of current semantic space models.

The topic is expected to have a strong impact both on applied front, as
a breakthrough in the acquisition of large semantic repositories (we
will explore in particular applications to information retrieval), and
from a theoretical point of view, leading to “embodied” models of
computational learning that are more directly comparable to what human
learners do (Barsalou, 2008, Glenberg and Mehta, 2008).

* Application Information *

The successful candidate will have a strong computational background,
including familiarity with machine learning and/or statistical methods,
and should be familiar with the basics of either natural language
processing or (preferably) computer vision. An interest in exploring the
connections between artificial and natural intelligence and cognition is
also desirable.

The official call of the Doctoral School in Cognitive and Brain Sciences
will been announced shortly, and application details will be available
at the page:

http://portale.unitn.it/drcimec/portalpage.do?channelId=-35529

We strongly encourage a preliminary expression of interest in the
project. Please contact Marco Baroni (marco.baroni(at)unitn.it), attaching
a CV in pdf or txt format, or a link to an online CV.

ECML-SUEMA workshop

FIRST CALL FOR PAPERS

European Conference on Machine Learning and Principles and Practice
of Knowledge Discovery in Databases – ECML/PKDD 2010
http://www.ecmlpkdd2010.org/

Workhop on Supervised and Unsupervised Ensemble Methods
and Their Applications – SUEMA 2010
http://suema10.dsi.unimi.it

Barcelona (Spain) 20 September 2010

Dear Colleague, we are pleased to invite you to submit a paper to the
workshop Supervised and Unsupervised Ensemble Methods and Their
Applications (SUEMA 2010), organized in the context of the European
Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases (ECML-PKDD 2010).

The workshop is organized with the support of the PASCAL2 (Pattern Analysis,
Statistical Modelling and Computational Learning) European Network of
Excellence.

This third edition follows up the first one held in Girona (Spain) in
June 2007 (it was the part of the 3rd Iberian Conference on Pattern
Recognition and Image Analysis) and the second one held in Patras
(Greece) in July 2008 (it was the part of the 18th European Conference
on Artificial Intelligence).
SUEMA 2010 intends to provide a forum for researchers in the field
of Machine Learning and Data Mining to discuss topics related to
ensemble methods and their applications.

With best regards

Oleg Okun, Matteo Re and Giorgio Valentini.

More information about the topics of the workshop are available at the
workshop web-site: http://suema10.dsi.unimi.it

— IMPORTANT DATES

Submission 21st June 2010
Notification 12th July 2010
Camera Ready 21st July 2010

— Submission of papers

The authors should submit the papers by e-mail to the workshop chairs
Oleg Okun (olegokun(at)yahoo.com),
Matteo Re (re(at)dsi.unimi.it),
Giorgio Valentini (valentini(at)dsi.unimi.it).

All papers will be peer reviewed based on originality, technical content
and experimental evaluation.

— Workshop Registration

All workshop participants are required to register for the main conference.

— Workshop proceedings

ECML/PKDD will publish all accepted workshop papers on a CD.

As for previous SUEMA editions, workshop chairs are managing to publish
the extended versions of the workshop papers in an edited book or in a
special issue of a machine learning-oriented journal.

The authors will be responsible for producing camera-ready copies of papers,
conforming to the Springer formatting guidelines, for inclusion into the
proceedings. Note that at least one author of each accepted paper is
required to register and attend the workshop in order to present the paper.

—— Main topics

The main topics of the conference include (but are not limited
to):

New ensemble methods raised from new real world supervised and
unsupervised learning problems

Application of ensemble methods in various branches of science
and technology: bioinformatics, medical informatics, computer
security, economics, ecology, meteorology and weather forecast,
image analysis and signal processing, satellite image analysis.

Multi-class, multi-label, multi-path ensemble methods for
hierarchically structured taxonomies.

Fusion of multiple-source/multi-sensor data

Unsupervised ensemble methods for discovering structures in
unlabeled real data

Unsupervised ensemble approaches to assess the
reliability/validity of clusters discovered in real data

Combination techniques and methods to generate multiple base
learners from different features and data

Dynamic member selection for including into an ensemble

Heterogeneous ensembles of base learners

Variants of re-sampling-based methods (bagging, boosting)

Ensemble methods for supervised multi-class classification and
regression

Supervised and unsupervised ensemble methods for structured
domains

Ensemble methods for adaptive incremental learning

— SUEMA Scientific Program Committee

Nicolo’ Cesa-Bianchi, University of Milano, Italy
Carlotta Domeniconi, George Mason University, USA
Robert Duin, Delft University of Technology, the Netherlands
Mark Embrechts, Rensselaer Polytechnic Institute, USA
Ana Fred, Technical University of Lisboa, Portugal
Joao Gama, University of Porto, Portugal
Giorgio Giacinto, University of Cagliari, Italy
Larry Hall, University of South Florida, USA
Ludmila Kuncheva, University of Wales, UK
Francesco Masulli, University of Genova, Italy
Petia Radeva, Autonomous University of Barcelona, Spain
Juan Jose’ Rodriguez, University of Burgos, Spain
Fabio Roli, University of Cagliari, Italy
Paolo Rosso, Polytechnic University Valencia, Spain
Carlo Sansone, Federico II University of Napoli, Italy
Jose’ Salvador Sanchez, University Jaume I, Spain
Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece
Jordi Vitria’, Autonomous University of Barcelona, Spain
Ioannis Vlahavas, Aristotle University of Thessaloniki, Greece
Terry Windeatt, University of Surrey, UK

CIARP 2010 – Sao Paulo, Brazil (08-11 November)

15th Iberoamerican Congress on Pattern Recognition – CIARP’2010

November 08-11, 2010, São Paulo, Brazil

http://www.ciarp.org/xv/

Contact: ciarp2010(at)ciarp.org

CIARP’2010 will be held in São Paulo, Brazil, from November 8th to
11th, 2010. This conference is organized by the several scientific
associations, including: Cuban Association for Pattern Recognition
(acrp), Advanced Technologies Applications Center (CENATAV),
International Association for Pattern Recognition (IAPR), Mexican
Association for Computer Vision, Neural Computing and Robotics
(MACVNR), Portuguese Association for Pattern Recognition (APRP),
Spanish Association for Pattern Recognition and Image Analysis
(AERFAI), Special Interest Group on Pattern Recognition of the
Brazilian Computer Society (SIGPR-SBC), and Chilean Association for
Pattern Recognition (ChAPR).

This conference will be a forum for the exchange of scientific results
and experiences, as well as the sharing of new knowledge, and the
increasing of the co-operation between research groups in pattern
recognition and related areas.

The CIARP-IAPR Award to the best paper:

We are pleased to announce that an award, consisting of a cash prize
and a certificate, will be given to the author(s) of the Best Paper
registered and presented at CIARP 2010. The aim of this award is to
acknowledge and encourage excellence and originality of new models,
methods and techniques with an outstanding theoretical contribution
and practical application to the field of pattern recognition and/or
data mining. The selection of the winner will be based on the wish of
the author to be considered to the prize, the evaluation and
recommendations from members of the Program Committee and the
evaluation of the CIARP-IAPR Award Committee. This committee,
carefully chosen to avoid conflicts of interest, will evaluate each
nominated paper in a second review process, which will include the
quality of the oral and/or poster presentation.

TOPICS OF INTERESTS

Topics include, but are not limited to:

Applications of Pattern Recognition
Artificial Intelligence Techniques in Pattern Recognition
Bioinformatics
Clustering
Computer Vision
Data Mining
Databases, Knowledge Bases and Linguistic Tools for Pattern Recognition
Discrete Geometry
Document Processing and Recognition
Fuzzy and Hybrid Techniques in Pattern Recognition
Image Processing and Analysis
Kernel Machines
Logical Combinatorial Pattern Recognition
Mathematical Morphology
Mathematical Theory of Pattern Recognition
Medical Imaging
Natural Language Processing and Recognition
Neural Networks for Pattern Recognition
Parallel and Distributed Pattern Recognition
Pattern Recognition Principles
Shape and Texture Analysis
Signal Processing and Analysis
Special Hardware Architectures
Statistical Pattern Recognition
Syntactical and Structural Pattern Recognition
Video analysis
Voice and Speech Recognition

PAPER SUBMISSION

Prospective authors are invited to contribute to the conference by
electronically submitting a full paper in English of no more than 8
pages including illustrations, results and references. The accepted
papers must be presented at the conference in English. All submissions
will be peer reviewed for originality, technical content and relevance
to the theme of this conference by members of the Program
Committee. The final acceptance will be based upon double blind peer
review of the full-length paper.
The accepted papers will be included in the proceedings of the
CIARP’2010, which will be published by Springer in the Lecture Notes
in Computer Science – LNCS.

The papers should be submitted electronically through the submission
option in the CIARP 2010 webpage (http://www.ciarp.org).

The papers should be prepared following the instructions from Springer
LNCS series. (see
http://www.springer.com/sgw/cda/frontpage/0,,5-164-2-72376-0,00.html)

Submission implies the willingness of at least one of the authors to
register and to present the communication at the conference, if it is
accepted.

IMPORTANT DATES

Submission deadline: June 7th 2010
Notification of acceptance: July 10th 2010
Camera ready: August 1st 2010
Conference: November 08-11, 2010

COMMITTEES

* General Co-Chairs:

Isabelle Bloch
—– Telecom ParisTech – CNRS LTCI – Paris, France

Roberto M. Cesar-Jr.
—– University of São Paulo – USP – São Paulo, Brazil

* Organizing Committee

Carlos Hitoshi Morimoto, USP – Brazil
David Correa Martins Jr., UFABC – Brazil
João Eduardo Ferreira, USP – Brazil
Roberto Hirata Jr., USP – Brazil
Ronaldo Hashimoto, USP – Brazil
Yossi Zana , UFABC – Brazil

* Auxiliary Committee

Ana Beatriz V. Graciano, USP – Brazil
Charles Iury, USP – Brazil
Evaldo Oliveira, USP – Brazil
Fabrício Martins Lopes, USP – Brazil
Giseli Ramos, USP – Brazil
Jesus Mena-Chalco, USP – Brazil
Jorge J. G. Leandro, USP – Brazil
Marcelo Hashimoto, USP – Brazil
Thiago T. Santos, USP – Brazil

* Steering Committee.

Alberto Sanfeliu, AERFAI Espana
Alvaro Pardo, APRU Uruguay
Cesar Beltran-Castanon, PAPR Peru
Eduardo Bayro-Corrochano, MACVNR Mexico
Hector Allende, ACHIRP, Chile
Helder Araujo, APRP Portugal
Hemerson Pistori, SIGPR-SBC Brazil
Jose Ruiz-Shulkloper, ACRP Cuba

* Program Committee

TO BE ANNOUNCED