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CVPR
2005
IEEE
16 years 5 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
IJHPCN
2008
94views more  IJHPCN 2008»
15 years 3 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
ICPR
2006
IEEE
16 years 4 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas
CVPR
2009
IEEE
1289views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Bundling Features for Large Scale Partial-Duplicate Web Image Search
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words obtained by quantizing high-dimensional local image descriptors, and scalable schem...
Zhong Wu (Tsinghua University), Qifa Ke (Microsoft...
ICPR
2006
IEEE
16 years 4 months ago
FAIR: Towards A New Feature for Affinely-Invariant Recognition
In this paper we propose the first version of FAIR, a low-dimensional image neighborhood descriptor that shows performance comparable to SIFT introduced by Lowe. The dimension of F...
Martin Matousek, Radim Sára