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» Linear Laplacian Discrimination for Feature Extraction
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ICIP
2008
IEEE
14 years 1 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
ICIP
2007
IEEE
14 years 1 months ago
Orthogonal Diagonal Projections for Gait Recognition
Gait has received much attention from researchers in the vision field due to its utility in walker identification. One of the key issues in gait recognition is how to extract di...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
MVA
2007
154views Computer Vision» more  MVA 2007»
13 years 8 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
ICPR
2008
IEEE
14 years 1 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
ICASSP
2011
IEEE
12 years 11 months ago
Recent progress in prosodic speaker verification
We describe recent progress in the field of prosodic modeling for speaker verification. In a previous paper, we proposed a technique for modeling syllable-based prosodic feature...
Marcel Kockmann, Luciana Ferrer, Lukas Burget, Eli...