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» On Feature Selection through Clustering
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CVPR
2005
IEEE
14 years 9 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...
TMI
2010
122views more  TMI 2010»
13 years 6 months ago
Feature Based Nonrigid Brain MR Image Registration With Symmetric Alpha Stable Filters
—A new feature based nonrigid image registration method for magnetic resonance (MR) brain images is presented in this paper. Each image voxel is represented by a rotation invaria...
Shu Liao, Albert C. S. Chung
COMSIS
2010
13 years 5 months ago
MFI-tree: An effective multi-feature index structure for weighted query application
Multi-Feature Index Tree (MFI-Tree), a new indexing structure, is proposed to index multiple high-dimensional features of video data for video retrieval through example. MFI-Tree e...
Yunfeng He, Junqing Yu
ICMI
2009
Springer
162views Biometrics» more  ICMI 2009»
14 years 2 months ago
Multi-modal features for real-time detection of human-robot interaction categories
Social interactions unfold over time, at multiple time scales, and can be observed through multiple sensory modalities. In this paper, we propose a machine learning framework for ...
Ian R. Fasel, Masahiro Shiomi, Pilippe-Emmanuel Ch...
EUSFLAT
2001
100views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Fuzzy modelling using fuzzy mathematical programming
In this paper we will describe several methods that solve, using mathematical programming, different problems that, although can be used in others fields in the fuzzy modelling co...
José Manuel Cadenas, M. Carmen Garrido, J. ...