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MM
2010
ACM
238views Multimedia» more  MM 2010»
14 years 9 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
ICPR
2006
IEEE
15 years 10 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas
AAAI
2010
14 years 6 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
CVPR
2003
IEEE
15 years 11 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
ISCAS
1999
IEEE
114views Hardware» more  ISCAS 1999»
15 years 1 months ago
Auditory cortical spectral shape analysis in analog VLSI
An analog VLSI circuit used to model spectral shape analysis in the central auditory system is presented. Like the receptive fields of visual cortical neurons, the spectral respon...
M. Erturk, David J. Klein, Shihab A. Shamma