7413 search results - page 1182 / 1483 » Using Specularities for Recognition |
190
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
178
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ICCV
2001
IEEE
16 years 8 months ago
2001
IEEE
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
158
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
201
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
299
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ICDE
2008
IEEE
16 years 8 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...