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IJCV
2006
115views more  IJCV 2006»
15 years 5 months ago
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
Pei Chen, David Suter
PR
2007
137views more  PR 2007»
15 years 4 months ago
Boosted manifold principal angles for image set-based recognition
In this paper we address the problem of classifying vector sets. We motivate and introduce a novel method based on comparisons between corresponding vector subspaces. In particula...
Tae-Kyun Kim, Ognjen Arandjelovic, Roberto Cipolla
CVPR
2012
IEEE
13 years 7 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
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NIPS
1998
15 years 6 months ago
Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition
This paper describes a simple and efficient method to make template-based object classification invariant to in-plane rotations. The task is divided into two parts: orientation di...
Shumeet Baluja
CVPR
2011
IEEE
15 years 1 months ago
Action Recognition from a Distributed Representation of Pose and Appearance
We present a distributed representation of pose and appearance of people called the “poselet activation vector”. First we show that this representation can be used to estimate...
Subhransu Maji, Lubomir Bourdev, Jitendra Malik