387 search results - page 45 / 78 » Generative versus Discriminative Methods for Object Recognit... |
101
Voted
AUSAI
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
114
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JMLR
2010
14 years 7 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
ICDAR
2011
IEEE
14 years 3 days ago
2011
IEEE
—In this paper, we propose a new method for three dimensional rotation-free recognition of characters in scene. In the proposed method, we employ the Modified Quadratic Discrimi...
ICASSP
2010
IEEE
15 years 21 days ago
2010
IEEE
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...
119
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, a geometric approach for global selflocalization based on a world-model and active stereo vision is introduced. The method uses class specific object recognition a...