Welcome to the 4th issue of the Journal of Machine Learning Video Abstracts, published by Knowledge for All Foundation Ltd, London, with the goal of providing the legacy of the PASCAL2 Network of Excellence.

This issue is equally dedicated to presenting the flashtalks presentations at the 3rd EUCogIII Members Conference – EUCog – European Network for the Advancement of Artificial Cognitive Systems, Interaction and Robotics – in collaboration with Pascal2 Network of Excellence, held in Palma de Mallorca, 10-11 April 2013.

editor: John Shawe-Taylor, Centre for Computational Statistics and Machine Learning, University College London
editor: Alfons Juan-Císcar, Departament of Computer Systems and Computation, Technical University of Valencia (UPV)
editor: Samuel Kaski, Department of Information and Computer Science, Aalto University
editor: Davor Orlič, Centre for knowledge transfer in IT, Jožef Stefan Institute
author: Moritz Grosse-Wentrup, Max Planck Institute for Intelligent Systems, Max Planck Institute
author: Jan Rupnik, Artificial Intelligence Laboratory, Jožef Stefan Institute

Journal Video Abstracts

A framework for automatic sports video annotation with anomaly detection and transfer learning
Teofilo De Campos

Relevance Feedback Content-Based Image Rertieval with Hierarchical Gaussian Process Bandits
Ksenia Konyushkova

Feature Extraction from Top Association Rules: Effect on Average Predictive Accuracy
Francis Dogbey

Learning Concurrent Motor Skills in Versatile Solution Spaces
Christian Daniel

Imitation Learning by Model-based Probabilistic Trajectory Matching
Marc Peter Deisenroth

Pattern Recognition for Neuroimaging Toolbox
Jessica Schrouff

Natural language processing supported transdisciplinary crowdsourcing
Balázs Pintér

Autonomously Adapting Range Data Patterns for Object Detection
Theodoros Varvadoukas

Time-series information and unsupervised representation learning
Daniil Ryabko

Online Learning in Non-Stationary Markov Decision Processes
Gergely Neu

Unsupervised Bayesian Learning of Natural Language Semantics
Ivan Titov

Autonomous Exploration For Navigating In MDPs
Peter Auer

Machine Learning in the Statistical Natural Language Processing Group of the University of Stuttgart
Alexander Fraser

A Fast Active Learning Algorithm for Link Classification
Giovanni Zappella

Interactive NeRV: Interactive Visualization Optimized for Information Retrieval
Samuel Kaski

In this issue we welcomed self-made video recordings of research covering a wide range of topics, including presentations on full research papers, application reports, systems and tools, ontology papers, surveys, as well as data set reports as long as they clearly relate to challenges and opportunities arising from processing and managing data with the added value of semantics.

A System for Aligning Taxonomies and Debugging Taxonomies and Their Alignments
Valentina Ivanova

PCKS: Commandments for Benchmarking Semantic Flow Processing Systems
Thomas Scharrenbach, Emanuele Della Valle

Welcome to the 3rd issue of the Journal of Machine Learning Video Abstracts, published by Knowledge for All Foundation Ltd, London, with the goal of providing the legacy of the PASCAL2 Network of Excellence. This issue is equally dedicated to presenting the spotlight presentations of the 2012 Neural Information Processing Systems (NIPS) Conference held in December 3, 2012, Lake Tahoe, Nevada, United States as the Volume 2 and Volume 3 of this Journal. The original papers which were submitted to NIPS 2012 were also added to the video abstracts.

Journal Video Abstracts

Putting Bayes to sleep
Wouter M. Koolen

Confusion-Based Online Learning and a Passive-Aggressive Scheme
Liva Ralaivola

Volume Regularization for Binary Classification
Koby Crammer

Fast Resampling Weighted v-Statistics
Chunxiao Zhou

Pointwise Tracking the Optimal Regression Function
Yair Wiener

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio

Active Comparison of Prediction Models
Christoph Sawade

Entangled Monte Carlo
Seong-Hwan Jun

Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell

Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang

Efficient high dimensional maximum entropy modeling via symmetric partition functions
Paul Vernaza

A quasi-Newton proximal splitting method
Jalal Fadili

Factoring nonnegative matrices with linear programs
Victor Bittorf

Scaled Gradients on Grassmann Manifolds for Matrix Completion
Thanh Ngo

Multi-criteria Anomaly Detection using Pareto Depth Analysis
Alfred O. Hero III

Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-Paz

ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky

Searching for objects driven by context
Bogdan Alexe

3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler

Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati

Discriminatively Trained Sparse Code Gradients for Contour Detection
Xiaofeng Ren

Majorization for CRFs and Latent Likelihoods
Anna Choromanska

Kernel Hyperalignment
Peter J. Ramadge

Learning Networks of Heterogeneous Influence
Nan Du

Learning from Distributions via Support Measure Machines
Krikamol Muandet

Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely

Near Optimal Chernoff Bounds for Markov Decision Processes
Teodor Mihai Moldovan

Regularized Off-Policy TD-Learning
Bo Liu

Human memory search as a random walk in a semantic network
Joshua T. Abbott

Locating Changes in Highly Dependent Data with an Unknown Number of Change Points
Azadeh Khaleghi

Classification Calibration Dimension for General Multiclass Losses
Harish Guruprasad

Multi-Stage Multi-Task Feature Learning
Changshui Zhang

Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
Yanyan Lan

Iterative ranking from pair-wise comparisons
Sahand Negahban

Hierarchical spike coding of sound
Yan Karklin

Patient Risk Stratification for Hospital-Associated C. Diff as a Time-Series Classification Task
Jenna Wiens

On Multilabel Classification and Ranking with Partial Feedback
Francesco Orabona

Scalable Inference of Overlapping Communities
Prem Gopalan

Bayesian Nonparametric Modeling of Suicide Attempts
Isabel Valera

Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou

Symmetric Correspondence Topic Models for Multilingual Text Analysis
Kosuke Fukumasu

A Spectral Algorithm for Latent Dirichlet Allocation
Daniel Hsu

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
Jeff Beck

Identification of Recurrent Patterns in the Activation of Brain Networks
Firdaus Janoos

Delay Compensation with Dynamical Synapses
C. C. Alan Fung

Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model
Sander M. Bohte

Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Ken Nagata

The Video Journal of Semantic Data Management represents an innovative and multimedial way of publishing and sharing current research in the area of Semantic Data Management. It calls for presentations on original and high-quality research describing the role of Semantic Web technologies, Linked Data, and ontologies for the Data Management.

We welcome video recordings of research covering a wide range of topics, including presentations on full research papers, application reports, systems and tools, ontology papers, surveys, as well as data set reports as long as they clearly relate to challenges and opportunities arising from processing and managing data with the added value of semantics.

Articles are attached to each video abstract and also available at the ISWC2012 Boston main conference website.

Journal Video Abstracts

Applying SemanticWeb Technologies for Diagnosing Road Traffic Congestions
Freddy Lecue

ourSpaces – Design and Deployment of a Semantic Virtual Research Environment
Edoardo Pignotti

Google: “Get the best summary”
Andreas Thalhammer, Magnus Knuth

Market Sensing Using a Graph Database
Amar Shan

Formal Verification of Data Provenance Records
Szymon Klarman

A Formal Semantics for Weighted Ontology Mappings
Luciano Serafini

Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web
Chenghua Lin

Link Discovery with Guaranteed Reduction Ratio in Ane Spaces with Minkowski Measures
Axel-Cyrille Ngonga Ngomo

MORE: Modular Classification of OWL 2 Ontologies
Ana Armas

Rapidly Integrating Services into the Linked Data Cloud
Mohsen Taheriyan

On the Diversity and Availability of Temporal Information in Linked Open Data
Matteo Palmonari

Discovering Concept Coverings in Aligning Ontologies of Linked Data
Rahul Parundekar

Welcome to the 2nd issue of the Journal of Machine Learning Video Abstracts, published by Knowledge for All Foundation Ltd, London, with the goal of providing the legacy of the PASCAL2 Network of Excellence.

This issue is equaly dedicated to presenting the spotlight presentations of the 2011 Neural Information Processing Systems (NIPS) Conference held in Granada, Spain, on December 12, as the Volume 1 of this Journal. The VideoLectures.NET team were on site to record the presentations and they post-processed the recordings to incorporate the slides into the video, they also provide the technical infrastructure for the journal pages.

We are publishing this Volume rather late, as the video specific publishing model is still experimental and it makes harder to organize all the necessary stages of the publishing cycle, therefore the review process took longer than expected. We are delighted to have been able to record these and make them available to the wider Machine Learning and Artificial Intelligence community together with the wider audience. A special note of thankfulness goes also to our reviewers and spotlight chairs.

Journal Video Abstracts

Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe

Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama

Probabilistic amplitude and frequency demodulation
Richard Turner

Active dendrites: adaptation to spike-based communication
Balazs B Ujfalussy

Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand

The Fixed Points of Off-Policy TD
J. Zico Kolter

Evaluating the inverse decision-making approach to preference learning
Alan Jern

Identifying Alzheimer’s Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Jieping Ye

Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
Qiang Ji

Active learning of neural response functions with Gaussian processes
Mijung Park

Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P Reichert

Sequence learning with hidden units in spiking neural networks
Johanni Brea

Information Rates and Optimal Decoding in Large Neural Populations
David Pfau

A blind deconvolution method for neural spike identification
Chaitanya Ekanadham

Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon

The Kernel Beta Process
David E Carlson

Solving Decision Problems with Limited Information
Denis D. Mauá

Algorithms and hardness results for parallel large margin learning
Phil Long

Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Francis R. Bach

Online Submodular Set Cover, Ranking, and Repeated Active Learning
Jeff A. Bilmes

Sparse Estimation with Structured Dictionaries
David P Wipf

See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale

Minimax Localization of Structural Information in Large Noisy Matrices
Sivaraman Balakrishnan

Learning to Learn with Compound HD Models
Russ R Salakhutdinov

Object Detection with Grammar Models
Ross B. Girshick

Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez

Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-Yadkori

From Bandits to Experts: On the Value of Side-Observations
Ohad Shamir

Lower Bounds for Passive and Active Learning
Maxim Raginsky

Active Classification based on Value of Classifier
Tianshi Gao

Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi

Projection onto A Nonnegative Max-Heap
Jieping Ye

Phase transition in the family of p-resistances
Morteza Alamgir

Complexity of Inference in Latent Dirichlet Allocation
David Sontag

Practical Variational Inference for Neural Networks
Alex Graves

Sparse Filtering
Jiquan Ngiam

Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique Perrault-Joncas

Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan

Welcome to the first issue of the Journal of Machine Learning Video Abstracts. The first issue is dedicated to presenting the spotlight presentations of the 2010 Neural Information Processing Systems (NIPS) Conference held in Vancouver, Canada, on December 7-9. The presentations were lengthened to four minutes for this year’s conference with an allowance of 4 slides for each paper. The VideoLectures.NET team were on site to record the presentations and they post-processed the recordings to incorporate the slides into the video. The VideoLectures.NET portal provides the infrastructure for the journal pages. All of the abstracts have been reviewed for quality of recording and appropriateness of presentation, while the papers they describe were accepted to the highly prestigious and competitive NIPS event. At the conference itself there was also a poster session at which researchers could discuss the results with the authors and some of the presentations refer to these sessions at the end of their presentations. We are very conscious of the enormous effort that the authors have put into these presentations in order to communicate the results and main contributions of their papers to the community. We are therefore delighted to have been able to record them and make them available to a wider audience as a special issue of the Journal of Machine Learning Video Abstracts.

Journal Video Abstracts

Learning from Candidate Labeling Sets
Jie Luo

Why are some word orders more common than others? A uniform information density account
Luke Maurits

b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li

Getting lost in space: Large sample analysis of the resistance distance
Matthias Hein

Improving Human Judgments by Decontaminating Sequential Dependencies
Michael C. Mozer

Learning to localise sounds with spiking neural networks
Dan F. Goodman

SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
Sylvain Chevallier

Attractor Dynamics with Synaptic Depression
C. C. Alan Fung

Copula Processes
Andrew Gordon Wilson

A biologically plausible network for the computation of orientation dominance
Kritika Muralidharan<

Learning Convolutional Feature Hierarchies for Visual Recognition
Y-Lan Boureau

LSTD with Random Projections
Mohammad Ghavamzadeh

Kernel Descriptors for Visual Recognition
Liefeng Bo

Minimum Average Cost Clustering
Kiyohito Nagano

Identifying Dendritic Processing
Aurel A. Lazar

Probabilistic Inference and Differential Privacy
Frank McSherry

Trading off Mistakes and Don’t-Know Predictions
Avrim Blum

Exact learning curves for Gaussian process regression on large random graphs
Matthew Urry

Synergies in learning words and their referents
Mark Johnson

Learning concept graphs from text with stick-breaking priors
America Chambers

Efficient Minimization of Decomposable Submodular Functions
Peter G. Stobbe

Worst-case bounds on the quality of max-product fixed-points
Meritxell Vinyals

Learning To Count Objects in Images
Victor Lempitsky

Learning invariant features using the Transformed Indian Buffet Process
Joseph L. Austerweil

Multiple Kernel Learning and the SMO Algorithm
Manik Varma

Inductive Regularized Learning of Kernel Functions
Prateek Jain

Probabilistic Deterministic Infinite Automata
David Pfau

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
Paolo Viappiani

Online Classification with Specificity Constraints
Andrey Bernstein

Exact inference and learning for cumulative
Jim C. Huang

Global Analytic Solution for Variational Bayesian
Shinichi Nakajima

Throttling Poisson Processes
Uwe Dick

Graph-Valued Regression
Xi Chen

Switched Latent Force Models for Movement Segmentation
Mauricio Alvarez

Online Markov Decision Processes under Bandit Feedback
Gergely Neu

Distributed Dual Averaging In Networks
John Duchi

A Family of Penalty Functions for Structured Sparsity
Jean Morales

Guaranteed Rank Minimization via Singular Value Projection
Prateek Jain

Online Learning for Latent Dirichlet Allocation
Matt Hoffman

Structured Determinantal Point Processes
Alex Kulesza

Supervised Clustering
Reza Bosagh Zadeh

Online Learning in The Manifold of Low-Rank Matrices
Uri Shalit

Sample Complexity of Testing the Manifold Hypothesis
Hariharan Narayanan

Functional Geometry Alignment and Localization of Brain Areas
Georg Langs

Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
Kamiya Motwani

On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
Jie Tang

Shadow Dirichlet for Restricted Probability Modeling
Maya Gupta

Learning from Logged Implicit Exploration Data
Alexander Strehl

Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
Guy Isely

Feature Set Embedding for Incomplete Data
David Grangier

More data means less inference: A pseudo-max approach to structured learning
David Sontag