Papers
21,849 papers found
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
Amarnag Subramanya, Jeff A. Bilmes
Estimating image bases for visual image reconstruction from human brain activity
Yusuke Fujiwara, Yoichi Miyawaki, Yukiyasu Kamitani
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
Sanja Fidler, Marko Boben, Ales Leonardis
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
Ed Vul, George Alvarez, Joshua B. Tenenbaum et al.
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
Barry Chai, Dirk Walther, Diane Beck et al.
Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley et al.
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
Yicong Meng, Bertram E. Shi
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
Andrew McCallum, Karl Schultz, Sameer Singh
Factor Modeling for Advertisement Targeting
Ye Chen, Michael Kapralov, John Canny et al.
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
Xiao-ming Wu, Anthony M. So, Zhenguo Li et al.
Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan, Rob Fergus
Fast Learning from Non-i.i.d. Observations
Ingo Steinwart, Andreas Christmann
Fast, smooth and adaptive regression in metric spaces
Samory Kpotufe
Fast subtree kernels on graphs
Nino Shervashidze, Karsten Borgwardt
Filtering Abstract Senses From Image Search Results
Kate Saenko, Trevor Darrell
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
Bryan Conroy, Ben Singer, James Haxby et al.
Free energy score space
Alessandro Perina, Marco Cristani, Umberto Castellani et al.
From PAC-Bayes Bounds to KL Regularization
Pascal Germain, Alexandre Lacasse, Mario Marchand et al.
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Steven Chase, Andrew Schwartz, Wolfgang Maass et al.
Gaussian process regression with Student-t likelihood
Jarno Vanhatalo, Pasi Jylänki, Aki Vehtari
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
Jing Gao, Feng Liang, Wei Fan et al.
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
Yusuke Watanabe, Kenji Fukumizu
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
Grzegorz Swirszcz, Naoki Abe, Aurelie C. Lozano
Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer et al.