EE 583 Pattern Recognition - Electrical And Electronics Engineering

Fall 2006
Middle East Technical University
Electrical-Electronics Engineering Department
EE 583 Pattern Recognition
Term Projects
This semester, EE583 Term Projects are expected to apply and compare fundamental pattern recognition
topics to specific image or video classification problems, which are chosen by the group members. A
progress report (1-2 page length) must be submitted till 13 December 2006, in which the problem, as well
as the feature selection, is clearly explained. At the end of the project, a term project report, which is
accompanied by the source codes, as well as the binaries of the resulting software, is expected to be
submitted within a CD, which should be ready to be installed to any MS Windows-based PC. The
submission of the final report is due 22 January 2007.
PROJECT TOPIC
1)
Minimum Risk Classifier vs. Minimum Error Rate Classifier
2)
3)
Maximum Likelihood Estimation vs. Bayesian Parameter Estimation
Maximum Likelihood Estimation vs. K-Nearest Neighbor Rule
4)
5)
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7)
8)
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12)
Parzen-window estimation vs. Kn-nearest Neighbor estimation
Linear Discriminant Functions vs. Generalized Linear Discriminant Funct.
Fisher Linear Discriminant vs Principal Component Analysis
Multi-category Perceptron vs Multi-category MSE Procedures
Multi-category Ho-Koshyap vs Support Vector Machines
Support Vector Machine vs Feedforward Neural Network
Unsupervised Maximum Likelihood Estimation vs Hierarchical Clustering
K-means Algorithm vs Hierarchical Clustering
K-means Algorithm vs Graph Theoretic Clustering
13)
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17)
Hierarchical Clustering vs Fuzzy c-means clustering
CYK Parsing Algorithm vs other parsing algorithms
Attributed Graphs Comparison by different approaches
Single- vs Multi- Hidden Layer Feed forward Neural Network
Single Hidden Layer Feed forward Neural Network vs Hopfield Nets
18) Self-Organizing Feature Maps vs Single Hidden Layer Feed forward Neural
Network
19) Human Activity Recognition from Motion Features via HMMs
20) Evaluation of 2-D Shape Descriptors by SVM Classifier
21) Content based video retrieval with different classifiers
22) Automatic Jingle Detection and Identification from Audio Data with ML vs
Bayesian Parameter Estimation
23) Speaker Identification via NN and SVM and LVQ
24) Speaker recognition (from MFCC features) using SVM and MSE
GROUP MEMBERS
Mustafa Yağcıoğlu, Mehmet
Yılmaz, B.Bilge Voyvoda
Ayhan Ircı, Koray Akçay
Alper Aygar,Mustafa Yavuz
Kırlı, Can Küçük
Andaç Töre Şamiloğlu
Yusuf Yavuz, Murat Karahan
Halit Ergezer
Ömer Agah Duran, Adnan Kalay
Kutalmış Gökalp İnce
Eren Halıcı, Murat Deniz Aykın
Emre Rızvanoğlu
Fatih Gokce, Hande Celikkanat
Aykut Hozatlı, Arda Bilgin,
Abdurrahman Yalçın
Sema Özgür
Aysu Erdogdu
Ibrahim Başaran, Funda Akdoğan
Muhammet Sert, Erdem Emir,
Emrah Günsel
Mehmet Şefik Güleryüz
Ufuk Suat Aydin
Neslihan Bayramoğlu
Müge Sevinç, Berker Loğoğlu,
Mehmet Ergin Seyfe
Hacer Yalım
Turgay Koç
Ece Yurdakul, Seçil Gürsoy,İrem
Aydın