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» Optimization on Support Vector Machines
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ISBI
2007
IEEE
15 years 4 months ago
Automated Grading of Prostate Cancer Using Architectural and Textural Image Features
The current method of grading prostate cancer on histology uses the Gleason system, which describes five increasingly malignant stages of cancer according to qualitative analysis...
Scott Doyle, Mark Hwang, Kinsuk Shah, Anant Madabh...
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
15 years 3 months ago
Signal processing for brain-computer interface: enhance feature extraction and classification
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
Haihong Zhang, Cuntai Guan, Yuanqing Li
SIBGRAPI
2006
IEEE
15 years 3 months ago
Non-Extensive Entropy for CAD Systems of Breast Cancer Images
Recent statistics show that breast cancer is a major cause of death among women in all of the world. Hence, early diagnostic with Computer Aided Diagnosis (CAD) systems is a very ...
Paulo S. Rodrigues, Ruey-Feng Chang, Jasjit S. Sur...
CSB
2005
IEEE
137views Bioinformatics» more  CSB 2005»
15 years 3 months ago
A Learned Comparative Expression Measure for Affymetrix GeneChip DNA Microarrays
Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
Will Sheffler, Eli Upfal, John Sedivy, William Sta...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 3 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore