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» Using output codes to boost multiclass learning problems
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ACCV
2009
Springer
14 years 5 months ago
Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the ...
Xi Li, Kazuhiro Fukui, Nanning Zheng
ESANN
2001
14 years 8 days ago
Coding the outputs of multilayer feedforward
In this paper, we present an empirical comparison among four different schemes of coding the outputs of a Multilayer Feedforward networks. Results are obtained for eight different ...
Mercedes Fernández-Redondo, Carlos Hern&aac...
JMLR
2010
124views more  JMLR 2010»
13 years 5 months ago
Multiclass-Multilabel Classification with More Classes than Examples
We discuss multiclass-multilabel classification problems in which the set of classes is extremely large. Most existing multiclass-multilabel learning algorithms expect to observe ...
Ofer Dekel, Ohad Shamir
MVA
2011
336views Computer Vision» more  MVA 2011»
13 years 5 months ago
In-vehicle camera traffic sign detection and recognition
: In this paper we discuss theoretical foundations and a practical realization of a real-time traffic sign detection, tracking and recognition system operating on board of a vehicl...
Andrzej Ruta, Fatih Porikli, Shintaro Watanabe, Yo...
CVPR
2011
IEEE
13 years 7 months ago
Iterative Quantization: A Procrustean Approach to Learning Binary Codes
This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...
Yunchao Gong, Svetlana Lazebnik