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MVA
2007
191views Computer Vision» more  MVA 2007»
13 years 7 months ago
Face recognition using localized features based on non-negative sparse coding
Neural networks in the visual system may be performing sparse coding of learnt local features that are qualitatively
Bhavin J. Shastri, Martin D. Levine
SOCO
2008
Springer
13 years 7 months ago
A face recognition system based on Pseudo 2D HMM applied to neural network coefficients
Face recognition from an image or video sequences is emerging as an active research area with numerous commercial and law enforcement applications. In this paper different Pseudo 2...
Vitoantonio Bevilacqua, Lucia Cariello, Gaetano Ca...
WCE
2007
13 years 8 months ago
Face Recognition using Discrete Cosine Transform plus Linear Discriminant Analysis
—Face recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognit...
M. Hajiarbabi, J. Askari, S. Sadri, M. Saraee
ISNN
2004
Springer
14 years 1 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
NOLISP
2007
Springer
14 years 1 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...