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» Finding Rare Classes: Adapting Generative and Discriminative...
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ICDAR
2009
IEEE
14 years 3 months ago
A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition
: © A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition Vandana Roy, Sriganesh Madhvanath, Anand S., Raghunath R. Sharma HP Labora...
Vandana Roy, Sriganesh Madhvanath, Anand S., Ragun...
CVPR
2008
IEEE
14 years 10 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila
PAMI
2002
112views more  PAMI 2002»
13 years 8 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
ICML
2007
IEEE
14 years 9 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...