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CVPR
2007
IEEE
14 years 8 months ago
Face Recognition using Discriminatively Trained Orthogonal Rank One Tensor Projections
We propose a method for face recognition based on a discriminative linear projection. In this formulation images are treated as tensors, rather than the more conventional vector o...
Gang Hua, Paul A. Viola, Steven M. Drucker
ANNPR
2006
Springer
13 years 9 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
PAA
2010
13 years 4 months ago
A simple iterative algorithm for parsimonious binary kernel Fisher discrimination
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
Robert F. Harrison, Kitsuchart Pasupa
PAMI
2010
249views more  PAMI 2010»
13 years 4 months ago
Object Detection with Discriminatively Trained Part-Based Models
—We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...
Pedro F. Felzenszwalb, Ross B. Girshick, David A. ...
PAMI
2008
162views more  PAMI 2008»
13 years 6 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez