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ICML
2006
IEEE
16 years 7 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
165
Voted
ISBI
2002
IEEE
16 years 7 months ago
Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important ...
Lisa Kinnard, Shih-Chung Ben Lo, Paul C. Wang, Mat...
188
Voted
CF
2009
ACM
16 years 1 months ago
Quantitative analysis of sequence alignment applications on multiprocessor architectures
The exponential growth of databases that contains biological information (such as protein and DNA data) demands great efforts to improve the performance of computational platforms...
Friman Sánchez, Alex Ramírez, Mateo ...
NOMS
2008
IEEE
16 years 1 months ago
A novel approach to bottleneck analysis in networks
—In this paper∗ , we devise a novel method for bottleneck analysis of UDP networks based on the concept of network utility maximization. To determine the losses on the links in...
Nikhil Shetty, Assane Gueye, Jean C. Walrand
AINA
2006
IEEE
16 years 25 days ago
Accelerating the HMMER Sequence Analysis Suite Using Conventional Processors
Due to the ever-increasing size of sequence databases it has become clear that faster techniques must be employed to effectively perform biological sequence analysis in a reasonab...
John Paul Walters, Bashar Qudah, Vipin Chaudhary