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» A Statistical Learning Approach To Document Image Analysis
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KDD
2007
ACM
167views Data Mining» more  KDD 2007»
16 years 8 days ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
JCB
2007
94views more  JCB 2007»
14 years 11 months ago
A Quantile Method for Sizing Optical Maps
Optical mapping is an integrated system for the analysis of single DNA molecules. It constructs restriction maps (noted as “optical map”) from individual DNA molecules present...
Haifeng Li, Anton Valouev, David C. Schwartz, Mich...
ICIAP
2007
ACM
15 years 12 months ago
Natural scenes categorization by hierarchical extraction of typicality patterns
Natural scene categorization of images represents a very useful task for automatic image analysis systems in a wide variety of applications. In the literature, several methods hav...
Alessandro Perina, Marco Cristani, Vittorio Murino
PR
2007
101views more  PR 2007»
14 years 11 months ago
Use of power law models in detecting region of interest
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Yves Caron, Pascal Makris, Nicole Vincent
CVPR
2007
IEEE
16 years 1 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro