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» Comparing Similarity Combination Methods for Schema Matching
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BMCBI
2007
125views more  BMCBI 2007»
13 years 8 months ago
Bayesian meta-analysis models for microarray data: a comparative study
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
Erin M. Conlon, Joon J. Song, Anna Liu
CORR
1998
Springer
96views Education» more  CORR 1998»
13 years 8 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
CVPR
2005
IEEE
14 years 10 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
ICDE
2002
IEEE
209views Database» more  ICDE 2002»
14 years 10 months ago
Geometric-Similarity Retrieval in Large Image Bases
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Ioannis Fudos, Leonidas Palios, Evaggelia Pitoura
RECOMB
1999
Springer
14 years 27 days ago
Classifying proteins by family using the product of correlated p-values
An important goal in bioinformatics is determining the homology and function of proteins from their sequences. Pairwise sequence similarity algorithms are often employed for this ...
Timothy L. Bailey, William Noble Grundy