Papers
184,605 papers found
A Gravity Balancing Passive Exoskeleton for the Human Leg
S. Agrawal, S. Banala, A. Fattah
A Hierarchy of Support Vector Machines for Pattern Detection
Hichem Sahbi, Donald Geman
A Humanlike Predictor of Facial Attractiveness
Amit Kagian, Gideon Dror, Tommer Leyvand et al.
A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch et al.
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
A Linear Non-Gaussian Acyclic Model for Causal Discovery
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvä
A Local Learning Approach for Clustering
Mingrui Wu, Bernhard Schölkopf
Analysis of Contour Motions
Ce Liu, William T. Freeman, Edward H. Adelson
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization
Rey Ramírez, Jason Palmer, Scott Makeig et al.
Analysis of Representations for Domain Adaptation
Shai Ben-David, John Blitzer, Koby Crammer et al.
Analytical Characterization of the Accuracy of SLAM without Absolute Orientation Measurements
A. Mourikis, S. Roumeliotis
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel, Adam Coates, Morgan Quigley et al.
An Approach to Bounded Rationality
Eli Ben-sasson, Ehud Kalai, Adam Kalai
An Efficient Implementation of an Active Set Method for SVMs
Katya Scheinberg
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
S. S. Keerthi, Vikas Sindhwani, Olivier Chapelle
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments
Michael I. Mandel, Daniel P. Ellis, Tony Jebara
An Equilibrium Point based Model Unifying Movement Control in Humanoids
X. Gu, D. Ballard
A new inlier identification scheme for robust estimation problems
W. Zhang, J. Kosecka
An Information Theoretic Framework for Eukaryotic Gradient Sensing
Joseph M. Kimmel, Richard M. Salter, Peter J. Thomas
A Nonparametric Approach to Bottom-Up Visual Saliency
Wolf Kienzle, Felix A. Wichmann, Matthias O. Franz et al.
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
Daniel J. Navarro, Thomas L. Griffiths
An Oracle Inequality for Clipped Regularized Risk Minimizers
Ingo Steinwart, Don Hush, Clint Scovel
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems
David Barber, Bertrand Mesot
A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain, Alexandre Lacasse, François Laviolette et al.
Approximate Correspondences in High Dimensions
Kristen Grauman, Trevor Darrell