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» Combining Metric Features in Large Collections
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ICPR
2006
IEEE
14 years 8 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
ENC
2007
IEEE
14 years 2 months ago
fMRI Brain Image Retrieval Based on ICA Components
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...
SC
2004
ACM
14 years 1 months ago
A Parallel Implementation of 4-Dimensional Haralick Texture Analysis for Disk-Resident Image Datasets
Texture analysis is one possible method to detect features in biomedical images. During texture analysis, texture related information is found by examining local variations in ima...
Brent Woods, Bradley D. Clymer, Joel H. Saltz, Tah...
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
14 years 8 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
JAMIA
2010
116views more  JAMIA 2010»
13 years 2 months ago
Extracting Rx information from clinical narrative
Objective The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of...
James G. Mork, Olivier Bodenreider, Dina Demner-Fu...