ECE Lecture 1. Terminology. Statistics are used much like a drunk uses a lamppost: for support, not illumination
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1 ECE Lecture 1 Introduction Statistics are used much like a drunk uses a lamppost: for support, not illumination -- Vin Scully ECE471/571, Hairong Qi 2 Terminology Feature Sample Dimension Pattern (PC) Pattern recognition (PR) ECE471/571, Hairong Qi 3 1
2 PR = Feature Extraction + Pattern Classification Input media Feature extraction Feature vector Pattern Recognition result Need domain knowledge ECE471/571, Hairong Qi 4 An Example fglass.dat n forensic testing of glass collected by German on 214 fragments of glass n Data file has 10 columns w RI refractive index w Na weight of sodium oxide(s) w w Type RI Na Mg Al Si K Ca Ba Fe type ECE471/571, Hairong Qi 5 On the Different Courses at UT Machine Learning (ML) (CS425/528) Pattern Recognition (PR) (ECE471/571) Data Mining (DM) (Big Data) (CS526) Deep Learning (DL) (ECE599/592) From Google Trends Digital Image Processing (DIP) (ECE472/572) Computer Vision (CV) (ECE573) Mar. 2015, Tombone s Computer Vision Blog: Sept. 2017: Pattern-Recognition ECE471/571, Hairong Qi 6 2
3 A Graphical Illustration Input (e.g., Images) DIP DL A Better Input (e.g., less storage, less noisy, less blurred) CV Features PR or PC Knowledge/ Inference AI Objects Recognized 7 Conferences Computer Vision and Pattern Recognition (CVPR) International Conference on Pattern Recognition (ICPR) ECE471/571, Hairong Qi 8 Different Approaches - Overview Supervised n Parametric n Non-parametric Unsupervised n clustering derive Training set Known decision rule Data set apply Testing set Unknown ECE471/571, Hairong Qi 9 3
4 Pattern Classification Statistical Approach Non-Statistical Approach Supervised Basic concepts: Baysian decision rule (MPP, LR, Discri.) Parameter estimate (ML, BL) Non-Parametric learning (knn) LDF (Perceptron) NN (BP, Hopfield, DL) Support Vector Machine Unsupervised Basic concepts: Distance Agglomerative method k-means Winner-take-all Kohonen maps Decision-tree Syntactic approach Dimensionality Reduction FLD, PCA Performance Evaluation ROC curve (TP, TN, FN, FP) cross validation Stochastic Methods local opt (GD) global opt (SA, GA) Classifier Fusion majority voting NB, BKS Example Face Recognition ECE471/571, Hairong Qi 11 Landmark file structure column 1 column 2 Lm1: col-of-lm1 row-of-lm1 Lm2: col-of-lm2 row-of-lm Lm35: col-of-lm35 row-of-lm35 Line36 col-of-image row-of-image ECE471/571, Hairong Qi 12 4
5 Example - Network Intrusion Detection KDD Cup 99 Features n basic features of an individual TCP connection, such as its duration, protocol type, number of bytes transferred and the flag indicating the normal or error status of the connection n domain knowledge n 2-sec window statistics n 100-connection window statistics ECE471/571, Hairong Qi 13 Example - Gene Analysis for Tumor Classification Early detection of cancer Tumor n Observation of abnormal consequences of tumor development n Physical examination (X-rays) n Molecular marker detection Tumor gene expression profiles: molecular fingerprint Challenge: high dimensionality (in the order of thousands) n 16,063 known human genes and expressed sequence tags ECE471/571, Hairong Qi 14 Example - Color Image Compression ECE471/571, Hairong Qi 15 5
6 Example - Automatic Target Recognition Compact Cluster Laydown Ft 80.0 Series Ft Harley Motocycle Ford 250 Ford 350 Suzuki Vitara ECE471/571, Hairong Qi 16 Example Bio/chemical Agent Detection in Drinking Water x-axis: time (seconds) y-axis: relative fluorescence induction ECE471/571, Hairong Qi 17 Assignment and Tests Programming and Reporting n 4 Regular projects w C/C++/Python (major) w Matlab or C/C++/Python (non-major) n 1 Final project (C/C++/Python or Matlab) n With milestone deliverables n With final presentation 4~5 Homework (C/C++/Python or Matlab) 2 Tests ECE471/571, Hairong Qi 18 6
day month year documentname/initials 1
ECE471-571 Pattern Recognition Lecture 13 Decision Tree Hairong Qi, Gonzalez Family Professor Electrical Engineering and Computer Science University of Tennessee, Knoxville http://www.eecs.utk.edu/faculty/qi
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