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
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P Reichert
A blind deconvolution method for neural spike identification
Chaitanya Ekanadham
The Kernel Beta Process
David E Carlson
Solving Decision Problems with Limited Information
Denis D. Mauá
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
Lower Bounds for Passive and Active Learning
Maxim Raginsky
Projection onto A Nonnegative Max-Heap
Jieping Ye
Phase transition in the family of p-resistances
Morteza Alamgir
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