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» Constructing Category Hierarchies for Visual Recognition
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ESWA
2007
136views more  ESWA 2007»
14 years 9 months ago
Semantic-based facial expression recognition using analytical hierarchy process
In this paper we present an automatic facial expression recognition system that utilizes a semantic-based learning algorithm using the analytical hierarchy process (AHP). Although...
Shyi-Chyi Cheng, Ming-Yao Chen, Hong-Yi Chang, Tzu...
CVPR
2010
IEEE
15 years 5 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
NN
2008
Springer
104views Neural Networks» more  NN 2008»
14 years 9 months ago
Recognizing emotions expressed by body pose: A biologically inspired neural model
Research into the visual perception of human emotion has traditionally focused on the facial expression of emotions. Recently researchers have turned to the more challenging field...
Konrad Schindler, Luc J. Van Gool, Béatrice...
WWW
2007
ACM
15 years 10 months ago
Image annotation by hierarchical mapping of features
In this paper, we propose a novel approach of image annotation by constructing a hierarchical mapping between lowlevel visual features and text features utilizing the relations wi...
Qiankun Zhao, Prasenjit Mitra, C. Lee Giles
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 3 months ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh