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» Face Detection Using Mixtures of Linear Subspaces
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CVPR
2007
IEEE
15 years 11 months ago
Face Recognition Using Kernel Ridge Regression
In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and apply the methods to the problem of face recognition...
Senjian An, Wanquan Liu, Svetha Venkatesh
133
Voted
CVPR
2012
IEEE
12 years 12 months ago
Face detection, pose estimation, and landmark localization in the wild
We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared p...
Xiangxin Zhu, Deva Ramanan
CVPR
1998
IEEE
15 years 11 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
JMLR
2010
154views more  JMLR 2010»
14 years 4 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
PAMI
2007
184views more  PAMI 2007»
14 years 9 months ago
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recogn
Traditional photometric stereo algorithms employ a Lambertian reflectance model with a varying albedo field and involve the appearance of only one object. In this paper, we gene...
Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellapp...