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MVA
2000
172views Computer Vision» more  MVA 2000»
13 years 10 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
ICCV
2005
IEEE
14 years 11 months ago
Using Eye Reflections for Face Recognition Under Varying Illumination
Face recognition under varying illumination remains a challenging problem. Much progress has been made toward a solution through methods that require multiple gallery images of ea...
Ko Nishino, Peter N. Belhumeur, Shree K. Nayar
HICSS
2003
IEEE
98views Biometrics» more  HICSS 2003»
14 years 2 months ago
The Influence of the Meaning of Pictures and Words on Web Page Recognition Performance
Firms spend high sums trying to make their “home” page as memorable as possible to attract repeat visits. For this purpose, fancy pictures and words are used to catch the atte...
Enrique Mu, Dennis F. Galletta
AAAI
2008
13 years 11 months ago
Using a Geometric-Based Sketch Recognition Approach to Sketch Chinese Radicals
Unlike English, where unfamiliar words can be queried for its meaning by typing out its letters, the analogous operation in Chinese is far from trivial due to the nature of its wr...
Paul Taele, Tracy Hammond
CSL
2006
Springer
13 years 9 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...