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Paper:SPTM-P5.8
Session:Adaptive Systems and Signal Processing
Time:Wednesday, May 19, 15:30 - 17:30
Presentation: Poster
Topic: Signal Processing Theory and Methods: Detection, Estimation, and Class. Thry & Apps.
Title: TARGET DETECTION WITH TEXTURE FEATURE CODING METHOD AND SUPPORT VECTOR MACHINES
Authors: Jie Liang; Microsoft 
 George Zhao; Intelligent Automation, Inc. 
 Roger Xu; Intelligent Automation, Inc. 
 Chiman Kwan; Intelligent Automation, Inc. 
 Chien-I Chang; University of Maryland, Baltimore County 
Abstract: A texture analysis approach of using an improved texture feature coding method (TFCM) and the Support Vector Machines (SVM) for target detection is presented in this paper. Preliminary test on mammogram showed over 88% of normal mammograms and 85% of abnormal mammograms were correctly identified. Automatic target detection with a Cascade-Sliding-Window (CSW) technique is also discussed.
 
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