Papers
176,624 papers found
A unified model of short-range and long-range motion perception
Shuang Wu, Xuming He, Hongjing Lu et al.
Automatically Producing Plot Unit Representations for Narrative Text
Amit Goyal, Ellen Riloff, Hal Daumé III
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting
Chris Barber, Joseph Bockhorst, Paul Roebber
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Sebastian Millner, Andreas Grübl, Karlheinz Meier et al.
Avoiding False Positive in Multi-Instance Learning
Yanjun Han, Qing Tao, Jue Wang
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation
Florence Forbes, Senan Doyle, Daniel Garcia–Lorenzo et al.
Basis Construction from Power Series Expansions of Value Functions
Sridhar Mahadevan, Bo Liu
Batch Bayesian Optimization via Simulation Matching
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Bayesian Action-Graph Games
Albert X. Jiang, Kevin Leyton-brown
Bayesian Gaussian Process Latent Variable Model
Michalis Titsias, Neil D. Lawrence
Bayesian Generalized Kernel Models
Zhihua Zhang, Guang Dai, Donghui Wang et al.
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
Ryo Yoshida, Mike West
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Xinhua Zhang, Thore Graepel, Ralf Herbrich
Bayesian structure discovery in Bayesian networks with less space
Pekka Parviainen, Mikko Koivisto
Bayesian variable order Markov models
Christos Dimitrakakis
b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li, Arnd Konig, Wenhao Gui
Belief space planning assuming maximum likelihood observations
R. Platt, R. Tedrake, L. Kaelbling and T. Lozano-Perez
Beyond Actions: Discriminative Models for Contextual Group Activities
Tian Lan, Yang Wang, Weilong Yang et al.
Biophysically inspired development of a sand-swimming robot
R. Maladen, Y. Ding, P. Umbanhowar et al.
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
Vikas Sindhwani, Aurelie C. Lozano
Boosted Optimization for Network Classification
Timothy Hancock, Hiroshi Mamitsuka
Boosting Classifier Cascades
Nuno Vasconcelos, Mohammad J. Saberian
Bootstrapping Apprenticeship Learning
Abdeslam Boularias, Brahim Chaib-draa
Brain covariance selection: better individual functional connectivity models using population prior
Gael Varoquaux, Alexandre Gramfort, Jean-baptiste Poline et al.