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PAMI
2007
217views more  PAMI 2007»
13 years 9 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
ECCV
2006
Springer
14 years 12 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
PAMI
2007
144views more  PAMI 2007»
13 years 9 months ago
Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships
—A system that could automatically analyze the facial actions in real time has applications in a wide range of different fields. However, developing such a system is always chall...
Yan Tong, Wenhui Liao, Qiang Ji
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
14 years 4 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
14 years 4 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...