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» High Performance Clustering Based on the Similarity Join
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CVPR
2012
IEEE
13 years 7 days ago
Active image clustering: Seeking constraints from humans to complement algorithms
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
Arijit Biswas, David W. Jacobs
MM
2006
ACM
130views Multimedia» more  MM 2006»
15 years 3 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
JIFS
2008
155views more  JIFS 2008»
14 years 9 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
SC
2009
ACM
15 years 4 months ago
Early performance evaluation of a "Nehalem" cluster using scientific and engineering applications
In this paper, we present an early performance evaluation of a 624-core cluster based on the Intel® Xeon® Processor 5560 (code named “Nehalem-EP”, and referred to as Xeon 55...
Subhash Saini, Andrey Naraikin, Rupak Biswas, Davi...
BMCBI
2010
131views more  BMCBI 2010»
14 years 4 months ago
Dynamics based alignment of proteins: an alternative approach to quantify dynamic similarity
Background: The dynamic motions of many proteins are central to their function. It therefore follows that the dynamic requirements of a protein are evolutionary constrained. In or...
Márton Münz, Rune B. Lyngsø, Jo...