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» Comparing Similarity Combination Methods for Schema Matching
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CVPR
2011
IEEE
13 years 5 months ago
Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
Mehrtash Harandi, Sareh, Shirazi (National ICT Aus...
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 9 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
MT
2006
106views more  MT 2006»
13 years 8 months ago
Example-based machine translation based on tree-string correspondence and statistical generation
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
Zhan-yi Liu, Haifeng Wang, Hua Wu
TMI
2008
195views more  TMI 2008»
13 years 8 months ago
A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification
Multiplex fluorescent in situ hybridization (M-FISH) is a recently developed chromosome imaging technique where each chromosome class appears to have a distinct color. This techniq...
Petros S. Karvelis, Alexandros T. Tzallas, Dimitri...
CVPR
2006
IEEE
14 years 10 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...