146 search results - page 19 / 30 » Learning Metrics Between Tree Structured Data: Application t... |
ACSC
2006
IEEE
15 years 7 months ago
2006
IEEE
Nearest neighbour (NN) searches and k nearest neighbour (k-NN) searches are widely used in pattern recognition and image retrieval. An NN (k-NN) search finds the closest object (...
108
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
143
Voted
AC
2000
Springer
15 years 6 months ago
2000
Springer
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
147
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JMLR
2008
15 years 1 months ago
2008
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
137
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...