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» Training of Classifiers Using Virtual Samples Only
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IGARSS
2009
13 years 6 months ago
Spectral Variability within Species and its Effects on Savanna Tree Species Discrimination
Differences in within-species phenology and structure driven by factors including topography, edaphic properties, and climatic variables present important challenges for species d...
Moses Azong Cho, Pravesh Debba, Renaud Mathieu, Bo...
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
14 years 2 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
ETS
2000
IEEE
113views Hardware» more  ETS 2000»
13 years 8 months ago
NetChat: Communication and Collaboration via WWW
Practice has shown that providing content to students alone is not sufficient for good learning results. In computer based training (CBT) and especially webbased training (WBT) en...
Reinhard Kreutz, Sven Kiesow, Klaus Spitzer
CVPR
2008
IEEE
14 years 11 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