'Tp tn fp fn' diaporamas de présentation

Chapter 4

Chapter 4. Pattern Recognition Concepts: Introduction & ROC Analysis. Terms. Class object prototype set of objects having some important common properties Class label a class in which an object belongs. Terms. Classification process of matching an object instance to a particular class

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Spring 2009 New Mexico Tech

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Evaluation of segmentation

Evaluation of segmentation . Example. Reference standard & segmentation. Segmentation performance. Qualitative/subjective evaluation ? the easy way out, sometimes the only option Quantitative evaluation preferable in general A wild variety of performance measures exists

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CT image testing

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Classification

Classification. Lecture 11. Topics. Tutorial Review Classification Frame Terminology and measures Using Classifications In system use In system development Creating Classifications Card sorting. Fuzzy Matching in the Telephone Directory. UWE telephone directory

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Classification of Microarray Data

Classification of Microarray Data. The DNA Array Analysis Pipeline. Question Experimental Design. Array design Probe design. Sample Preparation Hybridization. Buy Chip/Array. Image analysis. Normalization. Expression Index Calculation. Comparable Gene Expression Data.

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Robust Video Surveillance for Fall Detection Based on Human Shape Deformation

Caroline Rougier, Jean Meunier, Alain St-Arnaud, and Jacqueline Rousseau IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 21, NO. 5, MAY 2011. Robust Video Surveillance for Fall Detection Based on Human Shape Deformation. outline. Introduction Our System and data set

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Evaluating Detection & Treatment Effectiveness of Commercial Anti-Malware Programs

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8. Evaluation Methods

8. Evaluation Methods. Errors and Error Rates Precision and Recall Similarity Cross Validation Various Presentations of Evaluation Results Statistical Tests. How to evaluate/estimate error. Resubstitution one data set used for both training and for testing Holdout (training and testing)

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(Q)SAR and (Q)AAR analysis of ToxCast Dataset Using PASS and GUSAR approaches

(Q)SAR and (Q)AAR analysis of ToxCast Dataset Using PASS and GUSAR approaches. Vladimir Poroikov , Dmitry Filimonov, Alexey Zakharov, Alexey Lagunin, Sergey Novikov*.

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