EE 583 Pattern Recognition - Electrical And Electronics Engineering
Transkript
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) 6) 7) 8) 9) 10) 11) 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) 14) 15) 16) 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