343 search results - page 12 / 69 » Mercer Kernels for Object Recognition with Local Features |
132
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ACCV
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
163
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ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
120
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
153
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ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
59
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ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...