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Book
640views
17 years 2 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
IAT
2006
IEEE
15 years 9 months ago
Crime Pattern Detection Using Data Mining
Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes f...
Shyam Varan Nath
ICPPW
2005
IEEE
15 years 9 months ago
Performance Evaluation of High-Speed Interconnects Using Dense Communication Patterns
We study the performance of high-speed interconnects using a set of communication micro-benchmarks. The goal is to identify certain limiting factors and bottlenecks with these int...
Rod Fatoohi, Ken Kardys, Sumy Koshy, Soundarya Siv...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 8 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
MICCAI
2006
Springer
16 years 4 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim