EE 583 Pattern Recognition - Department Of | Electrical And

EE 583 Pattern Recognition - Department Of | Electrical And

Fall 2007
Middle East Technical University
Electrical-Electronics Engineering Department
EE 583 Pattern Recognition
Term Projects
This semester, every student is expected to apply fundamental pattern recognition topics to a particular application area.
In the last week of the semester (03 January 2008), there will be brief presentations for the term projects with special
emphasis on the simulation results. The project report, presentation, source codes, as well as the binaries of the
resulting software, is expected to be submitted within a CD, which are ready to be executed in any MS Windows-based
PC.
PATTERN RECOGNITION RESEARCH AREA
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
Minimum Risk Classifier-1
Minimum Risk Classifier-2
Maximum Likelihood Estimation-1
Maximum Likelihood Estimation-2
Bayesian Parameter Estimation
Parzen-window estimation
Kn-nearest Neighbor estimation
Nearest Neighbor Rule
K-Nearest Neighbor Rule
Fischer’s Linear Discriminant-1
Fischer’s Linear Discriminant-2
Multi-category Linear Machine LDF
Generalized LDF-1
Generalized LDF-2
Multi-category Perceptron Criterion in LDF
Multi-category MSE Procedures
Multi-category Ho-Koshyap Procedures
Support Vector Machines-1
Support Vector Machines-2
Unsupervised Maximum Likelihood Estimation
K-means Algorithm-1
K-means Algorithm-2
Non-parametric Iterative Unsupervised Clustering
Hierarchical Clustering-1
Hierarchical Clustering-2
Graph Theoretic Clustering
Fuzzy c-means clustering
Single Hidden Layer Feed forward NeuralNet
Multi-Hidden Layer Feed forward NeuralNet
Hopfield Nets
Set condensing
Hidden Markov Models
Feed forward NeuralNetworks
Unsupervised clustering
Unsupervised clustering
APPLICATION
AREA
Aerial target detection
Audio-visual violence detection
Text detection in images
Indoor/Outdoor image classif.
Aerial target detection
Background modeling in video
Background modeling in video
Video Shot Boundary Detection
Text detection in images
Face Detection
Audio-visual violence detection
Face Recognition
Indoor/Outdoor image classif.
License plate detection
Silence, music, speech classif.
Face Recognition
Silence, music, speech classif.
Face Detection
Natural/Man-made classification
Text detection in images
Aerial Image Segmentation
Video Shot Boundary Detection
Silence, music, speech classif.
Aerial Image Segmentation
Natural/Man-made classification
Video Shot Boundary Detection
Aerial Image Segmentation
Text (number) recognition
License plate detection
Text (number) recognition
Real life data
Human activitiy recognition
Visual pepper classification
P2P Network Traffic Analysis
Measurements from Sun
STUDENT
IDs
Gedik, Günyel
Bozdoğan
Albasan
Gökçe, Ulukaya
Gültekin
Ogan, Ozan
Akgün
Saygıner, Şaka
Çığla, Türetken
Ocaklı, Günaydın
Topçu
Demirkol, Şeref
Gürsan
Zongur
Aşan
Okman
Çetin
Serhat, Noyan
Arslan, Türkay
Başıbüyük
Ateş
Ataş
Soysal
Akın