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» A comparative study of two object recognition methods
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ICIP
2009
IEEE
16 years 4 months ago
Face Recognition With Salient Local Gradient Orientation Binary Patterns
This paper proposes a new face recognition method. There are two novelties in the proposed method. First, a new saliency measure function is designed to detect the most salient re...
MCS
2007
Springer
15 years 9 months ago
Group-Induced Vector Spaces
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Du...
140
Voted
BCB
2010
138views Bioinformatics» more  BCB 2010»
14 years 10 months ago
Comparative analysis of biclustering algorithms
Biclustering is a very popular method to identify hidden co-regulation patterns among genes. There are numerous biclustering algorithms designed to undertake this challenging task...
Doruk Bozdag, Ashwin S. Kumar, Ümit V. &Ccedi...
GECCO
2010
Springer
196views Optimization» more  GECCO 2010»
15 years 8 months ago
Using synthetic test suites to empirically compare search-based and greedy prioritizers
The increase in the complexity of modern software has led to the commensurate growth in the size and execution time of the test suites for these programs. In order to address this...
Zachary D. Williams, Gregory M. Kapfhammer
117
Voted
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 5 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...