Papers
21,849 papers found
In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis et al.
Isotonic Conditional Random Fields and Local Sentiment Flow
Yi Mao, Guy Lebanon
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
Robert Jenssen, Torbjørn Eltoft, Mark Girolami et al.
Kernels on Structured Objects Through Nested Histograms
Marco Cuturi, Kenji Fukumizu
Large Margin Component Analysis
Lorenzo Torresani, Kuang-chih Lee
Large Margin Hidden Markov Models for Automatic Speech Recognition
Fei Sha, Lawrence K. Saul
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis
Amit Gore, Shantanu Chakrabartty
Large Scale Hidden Semi-Markov SVMs
Gunnar Rätsch, Sören Sonnenburg
Large-Scale Sparsified Manifold Regularization
Ivor W. Tsang, James T. Kwok
Learning annotated hierarchies from relational data
Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka et al.
Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz, Bernhard Schölkopf
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman
Learning Motion Style Synthesis from Perceptual Observations
Lorenzo Torresani, Peggy Hackney, Christoph Bregler
Learning Nonparametric Models for Probabilistic Imitation
David B. Grimes, Daniel R. Rashid, Rajesh P. Rao
Learning on Graph with Laplacian Regularization
Rie K. Ando, Tong Zhang
Learning Structural Equation Models for fMRI
Enrico Simonotto, Heather Whalley, Stephen Lawrie et al.
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
Alexander T. Ihler, Padhraic Smyth
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
Chi-hoon Lee, Shaojun Wang, Feng Jiao et al.
Learning to parse images of articulated bodies
Deva Ramanan
Learning to Rank with Nonsmooth Cost Functions
Christopher J. Burges, Robert Ragno, Quoc V. Le
Learning to Traverse Image Manifolds
Piotr Dollár, Vincent Rabaud, Serge J. Belongie
Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
Linearly-solvable Markov decision problems
Emanuel Todorov
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning
Peter Auer, Ronald Ortner
Logistic Regression for Single Trial EEG Classification
Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller