Papers
21,849 papers found
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-cagli, Peter Dayan, Odelia Schwartz
STDP enables spiking neurons to detect hidden causes of their inputs
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Strategy Grafting in Extensive Games
Kevin Waugh, Nolan Bard, Michael Bowling
Streaming k-means approximation
Nir Ailon, Ragesh Jaiswal, Claire Monteleoni
Streaming Pointwise Mutual Information
Benjamin V. Durme, Ashwin Lall
Structural inference affects depth perception in the context of potential occlusion
Ian Stevenson, Konrad Koerding
Structured output regression for detection with partial truncation
Andrea Vedaldi, Andrew Zisserman
Subject independent EEG-based BCI decoding
Siamac Fazli, Cristian Grozea, Marton Danoczy et al.
Submanifold density estimation
Arkadas Ozakin, Alexander G. Gray
Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda et al.
The Infinite Partially Observable Markov Decision Process
Finale Doshi-velez
The Ordered Residual Kernel for Robust Motion Subspace Clustering
Tat-jun Chin, Hanzi Wang, David Suter
The 'tree-dependent components' of natural scenes are edge filters
Daniel Zoran, Yair Weiss
The Wisdom of Crowds in the Recollection of Order Information
Mark Steyvers, Brent Miller, Pernille Hemmer et al.
Time-Varying Dynamic Bayesian Networks
Le Song, Mladen Kolar, Eric P. Xing
Toward Provably Correct Feature Selection in Arbitrary Domains
Dimitris Margaritis
Tracking Dynamic Sources of Malicious Activity at Internet Scale
Shobha Venkataraman, Avrim Blum, Dawn Song et al.
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum et al.
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
Gunhee Kim, Antonio Torralba
Unsupervised feature learning for audio classification using convolutional deep belief networks
Honglak Lee, Peter Pham, Yan Largman et al.
Unsupervised Feature Selection for the $k$-means Clustering Problem
Christos Boutsidis, Petros Drineas, Michael W. Mahoney
Variational Gaussian-process factor analysis for modeling spatio-temporal data
Jaakko Luttinen, Alexander Ilin