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» A Statistical Learning Approach To Document Image Analysis
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141
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ICDAR
2011
IEEE
14 years 3 months ago
Symbol Recognition by Multiresolution Shape Context Matching
—We present a multiresolution scheme for symbol representation and recognition based on statistical shape features. We define a symbol as a set of shape points, each of which is...
Feng Su, Tong Lu, Ruoyu Yang
115
Voted
ICIP
2008
IEEE
16 years 5 months ago
Multi-concept learning with large-scale multimedia lexicons
Multi-concept learning is an important problem in multimedia content analysis and retrieval. It connects two key components in the multimedia semantic ecosystem: multimedia lexico...
Lexing Xie, Rong Yan, Jun Yang 0003
109
Voted
CVPR
2010
IEEE
15 years 11 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 3 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
143
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SIGIR
2009
ACM
15 years 10 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero