NIPS Proceedingsβ

Alan L. Yuille

26 Papers

  • Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations (2014)
  • Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm (2014)
  • A unified model of short-range and long-range motion perception (2010)
  • Functional form of motion priors in human motion perception (2010)
  • Gaussian sampling by local perturbations (2010)
  • Modeling the spacing effect in sequential category learning (2009)
  • Model selection and velocity estimation using novel priors for motion patterns (2008)
  • Recursive Segmentation and Recognition Templates for 2D Parsing (2008)
  • Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing (2007)
  • The Noisy-Logical Distribution and its Application to Causal Inference (2007)
  • Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing (2006)
  • A Hierarchical Compositional System for Rapid Object Detection (2005)
  • Augmented Rescorla-Wagner and Maximum Likelihood Estimation (2005)
  • Ideal Observers for Detecting Motion: Correspondence Noise (2005)
  • The Convergence of Contrastive Divergences (2004)
  • The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters (2004)
  • Human and Ideal Observers for Detecting Image Curves (2003)
  • MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation (2001)
  • The Concave-Convex Procedure (CCCP) (2001)
  • The g Factor: Relating Distributions on Features to Distributions on Images (2001)
  • The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference (2000)
  • A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations (1998)
  • Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours (1998)
  • A Convergence Proof for the Softassign Quadratic Assignment Algorithm (1996)
  • Bayesian Self-Organization (1993)
  • Self-Organizing Rules for Robust Principal Component Analysis (1992)