NIPS Proceedings
^{β}
Books
Alan L. Yuille
29 Papers
Label Distribution Learning Forests
(2017)
SURGE: Surface Regularized Geometry Estimation from a Single Image
(2016)
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
(2016)
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)