Papers
A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections
Ping Li, Trevor J. Hastie
The Infinite Gamma-Poisson Feature Model
Michalis K. Titsias
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka et al.
EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection
Pierre Ferrez, José Millán
Collective Inference on Markov Models for Modeling Bird Migration
M.a. S. Elmohamed, Dexter Kozen, Daniel R. Sheldon
Incremental Natural Actor-Critic Algorithms
Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee et al.
Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama et al.
Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai, Christopher Williams
Congruence between model and human attention reveals unique signatures of critical visual events
Robert Peters, Laurent Itti
The Distribution Family of Similarity Distances
Gertjan Burghouts, Arnold Smeulders, Jan-mark Geusebroek
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Zhengdong Lu, Cristian Sminchisescu, Miguel Á. Carreira-Perpiñán
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy et al.
Ultrafast Monte Carlo for Statistical Summations
Charles L. Isbell, Michael P. Holmes, Alexander G. Gray
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
Venkat Chandrasekaran, Alan S. Willsky, Jason K. Johnson
Colored Maximum Variance Unfolding
Le Song, Arthur Gretton, Karsten Borgwardt et al.
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Z. Kolter, Pieter Abbeel, Andrew Y. Ng
Statistical Analysis of Semi-Supervised Regression
Larry Wasserman, John D. Lafferty
The discriminant center-surround hypothesis for bottom-up saliency
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses
Massimiliano Giulioni, Mario Pannunzi, Davide Badoni et al.
Convex Relaxations of Latent Variable Training
Yuhong Guo, Dale Schuurmans
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Christoforos Christoforou, Paul Sajda, Lucas C. Parra
Sparse deep belief net model for visual area V2
Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Moulines Eric, Francis R. Bach, Zaïd Harchaoui
Kernels on Attributed Pointsets with Applications
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya et al.
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
Geoffrey E. Hinton, Ruslan Salakhutdinov