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» Application of Level Set Methods in Computer Vision
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CVPR
1998
IEEE
16 years 8 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
PSIVT
2007
Springer
203views Multimedia» more  PSIVT 2007»
16 years 27 days ago
Direct Ellipse Fitting and Measuring Based on Shape Boundaries
: Measuring ellipticity is an important area of computer vision systems. Most existing ellipticity measures are area based and cannot be easily applied to point sets such as extrac...
Milos Stojmenovic, Amiya Nayak
158
Voted
ICPPW
2005
IEEE
16 years 12 days ago
Gene Ordering in Microarray Data Using Parallel Memetic Algorithms
This paper addresses the Microarray Gene Ordering problem. It consists in ordering a set of genes, grouping together the ones with similar behavior. This behavior can be measured ...
Alexandre Mendes, Carlos Cotta, Vinícius Ga...
IPM
2007
99views more  IPM 2007»
15 years 6 months ago
Percent perfect performance (PPP)
An information retrieval performance measure that is interpreted as the percent of perfect performance (PPP) can be used to study the effects of the inclusion of specific documen...
Robert M. Losee
CIKM
2006
Springer
15 years 10 months ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010