A Probabilistic Framework for Semi-Supervised Clustering. Sugato Basu Mikhail Bilenko Raymond J. Mooney Dept ment of Computer Sciences University of Texas at Austin Presented by Jingting Zeng. Outline. Introduction Background Algorithm Experiments Conclusion.By landen
G. B. B. C. P. Q. D. A. K. H. A. D. BK. BA. s. r. E. F. Region 2. Region 1. Region 3. 1 pel. Shape Codec. WHAT IS THE MINIMUM DISTANCE OF POINT B FROM LINE AD ??. OBJECTIVE of this WORK. QUALITY. Which one is BETTER ?.By lucine
Operationally Optimal VERTEX-BASED SHAPE CODING. Guido M. Schuster, Gerry Melnikov, and Aggelos K. Katesaggelos. Outline. Introduction Rate and Distortion Directed Acyclic Graph Formulation Experimental Results and Comparisons Conclusions. Introduction.By cecil
PATTERN COMPARISON TECHNIQUES. Test Pattern:. Reference Pattern:. 4.2 SPEECH (ENDPIONT) DETECTION. 4.3 DISTORTION MEASURES-MATHEMATICAL CONSIDERATIONS. x and y: two feature vectors defined on a vector space X. The properties of metric or distance function d:.By mira-whitehead
Automatic Floating-Point to Fixed-Point Transformations. Kyungtae Han, Alex G. Olson, Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin. 2006 Asilomar Conference on Signals, Systems, and Computers. October 30th, 2006. Outline. IntroductionBy moana-christian
Rate Distortion Theory. Introduction. The description of an arbitrary real number requires an infinite number of bits, so a finite representation of a continuous random variable can never be perfect.By amcdowell
Distance-Reciprocal Distortion measure for Binary Document Images. Author : Haiping Lu, Alex C. Kot, Yun Q. Shi Source : Signal Processing Letters, IEEE , Volume: 11 , Issue: 2 , Feb. 2004 Pages:228 - 231 Adviser : Chin-Chen Chang Speaker : Ming-Hui HoBy wandatomlinson
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