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» Methods for Binary Multidimensional Scaling
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ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
CIVR
2007
Springer
185views Image Analysis» more  CIVR 2007»
14 years 4 months ago
Z-grid-based probabilistic retrieval for scaling up content-based copy detection
Scalability is the key issue in making content-based copy detection (CBCD) methods practical for very large image and video databases. Since copies are transformed versions of ori...
Sébastien Poullot, Olivier Buisson, Michel ...
FGR
2008
IEEE
289views Biometrics» more  FGR 2008»
14 years 4 months ago
Gabor volume based local binary pattern for face representation and recognition
This paper presents a novel face representation and recognition approach. The face image is first decomposed by multi-scale and multi-orientation Gabor filters and local binary ...
Zhen Lei, ShengCai Liao, Ran He, Matti Pietikä...
WACV
2007
IEEE
14 years 4 months ago
Fast Multi-scale Template Matching Using Binary Features
Template matching is one of the key problems in computer vision and has been widely used in tracking, recognition and many other applications. Traditional methods are usually slow...
Feng Tang, Hai Tao
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
14 years 3 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun