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» From Comparing Clusterings to Combining Clusterings
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TPDS
2008
140views more  TPDS 2008»
13 years 9 months ago
High-Performance Resource Allocation and Request Redirection Algorithms for Web Clusters
Abstract-- With increasing richness in features such as personalization of content, web applications are becoming more complex and hence compute intensive. Traditional approaches t...
Supranamaya Ranjan, Edward W. Knightly
ISBI
2004
IEEE
14 years 10 months ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...
ICDAR
2009
IEEE
14 years 4 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
MVA
2007
127views Computer Vision» more  MVA 2007»
13 years 10 months ago
Vehicle Orientation Detection Using Vehicle Color and Normalized Cut Clustering
This paper proposes a novel approach for vehicle orientation detection using “vehicle color” and edge information based on clustering framework. To extract the “vehicle colo...
Jui-Chen Wu, Jun-Wei Hsieh, Yung-Sheng Chen, Cheng...
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 2 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz