515 search results - page 39 / 103 » Learning Image Components for Object Recognition |
132
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AAAI
2008
15 years 5 months ago
2008
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
140
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MM
2004
ACM
15 years 8 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
162
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ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
119
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GBRPR
2005
Springer
15 years 8 months ago
2005
Springer
Shock graphs have emerged as a powerful generic 2-D shape representation. However, most approaches typically assume that the silhouette has been correctly segmented. In this paper,...
116
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ICMLA
2007
15 years 4 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...