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» Training of Classifiers Using Virtual Samples Only
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ICPR
2004
IEEE
14 years 8 months ago
Inter-Stage Feature Propagation in Cascade Building with AdaBoost
A modification of the cascaded detector with the AdaBoost trained stage classifiers is proposed and brought to bear on the face detection problem. The cascaded detector is a seque...
Jan Sochman, Jiri Matas
ICPR
2002
IEEE
14 years 8 months ago
Fast Projection Plane Classifier
In this paper a new approach for classification is presented, the "Fast Projection Plane Classfier", abbreviated here to FPPC. The main idea of FPPC is very simple: A cl...
Dirk Balthasar, Lutz Priese
ICPR
2000
IEEE
13 years 12 months ago
Comparison between Two Prototype Representation Schemes for a Nearest Neighbor Classifier
2. Character Recognition System The paper is about the problem of finding good prototypes for a condensed nearest neighbor classifiei- in a recognition system. A comparison study ...
Jari Kangas
MM
2005
ACM
160views Multimedia» more  MM 2005»
14 years 1 months ago
Putting active learning into multimedia applications: dynamic definition and refinement of concept classifiers
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...
Ming-yu Chen, Michael G. Christel, Alexander G. Ha...
PR
2006
127views more  PR 2006»
13 years 7 months ago
On solving the face recognition problem with one training sample per subject
The lack of adequate training samples and the considerable variations observed in the available image collections due to aging, illumination and pose variations are the two key te...
Jie Wang, Kostas N. Plataniotis, Juwei Lu, Anastas...