Papers
Aggregating Classification Accuracy across Time: Application to Single Trial EEG
Steven Lemm, Christin Schäfer, Gabriel Curio
Theory and Dynamics of Perceptual Bistability
Paul R. Schrater, Rashmi Sundareswara
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach
Matthias Krauledat, Michael Schröder, Benjamin Blankertz et al.
Modeling Dyadic Data with Binary Latent Factors
Edward Meeds, Zoubin Ghahramani, Radford M. Neal et al.
Training Conditional Random Fields for Maximum Labelwise Accuracy
Samuel S. Gross, Olga Russakovsky, Chuong B. Do et al.
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis et al.
Robotic Grasping of Novel Objects
Ashutosh Saxena, Justin Driemeyer, Justin Kearns et al.
In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis et al.
Towards a general independent subspace analysis
Fabian J. Theis
Convex Repeated Games and Fenchel Duality
Shai Shalev-shwartz, Yoram Singer
Online Classification for Complex Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-shwartz, Yoram Singer
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space
Kyung-ah Sohn, Eric P. Xing
Detecting Humans via Their Pose
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
Combining causal and similarity-based reasoning
Charles Kemp, Patrick Shafto, Allison Berke et al.
The Robustness-Performance Tradeoff in Markov Decision Processes
Huan Xu, Shie Mannor
Bayesian Ensemble Learning
Hugh A. Chipman, Edward I. George, Robert E. Mcculloch
Bayesian Image Super-resolution, Continued
Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts et al.
Modeling Human Motion Using Binary Latent Variables
Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman
Multiple timescales and uncertainty in motor adaptation
Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr
Blind source separation for over-determined delayed mixtures
Lars Omlor, Martin Giese
Predicting spike times from subthreshold dynamics of a neuron
Ryota Kobayashi, Shigeru Shinomoto
Multi-Task Feature Learning
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil