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» Discrete optimization in computer vision
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ICPR
2008
IEEE
15 years 10 months ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
ICPR
2008
IEEE
15 years 10 months ago
IR and visible face recognition using fusion of kernel based features
In this paper we present the face recognition method using feature-level fusion where the infrared (IR) and visible face images are fused at transformed domain. The main contribut...
Shahbe Mat Desa, Subhas Hati
ICPR
2008
IEEE
15 years 10 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
ICPR
2008
IEEE
15 years 10 months ago
Figure-ground discrimination and distortion-tolerant recognition of color characters in scene images
This paper proposes a new technique of figureground discrimination of color characters in scene images following two steps. The first step is temporary binarization by selecting o...
Toru Wakahara
CVPR
2007
IEEE
15 years 10 months ago
Local Ensemble Kernel Learning for Object Category Recognition
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh