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» Using output codes to boost multiclass learning problems
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ACCV
2009
Springer
15 years 4 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 11 months 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»
14 years 4 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»
14 years 4 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
14 years 5 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