Difference between revisions of "MeLi Wikis"

Revision as of 16:46, 20 November 2011

MeLi wikis is one of the ways that Machine Learning information is modularized at the MeLi site. A number of our affiliate faculty associated with our CCLI NSF grant have contributed content that is self-contained, related to Machine Learning theory and/or applications, and has educational value for researchers and practitioners or for students that take courses related to Machine Learning theory and Machine Learning applications. Please click on the wikis, provided below, to get an idea of the type of modularized information that these wikis contain.

Contributors

• Contributors

Wikis

• Visualization of Lesions in Breast MRI

Contributor:

• Dimensionality Reduction Using Random Projection

Contributor: Professor George Bebis, Dept of Computer Science and Engineering, University of Nevada, Reno

• Hand Biometrics Using High Order Zernike Moments

Contributor: Professor George Bebis, Dept of Computer Science and Engineering, University of Nevada, Reno

• Texture Segmentation Using Iterative K-means

Contributor: Professor Professor Anke Meyer-Baese, Department of Scientific Computing, Florida State University

• Cluster Validity Techniques in Medical Imaging

Contributor: Professor Anke Meyer-Baese, Department of Scientific Computing, Florida State University

• Face Recognition Using Principal Components Analysis (PCA)

Contributor: Professor George Bebis, Department of Computer Science, University of Nevada, Reno

• Antenna Beamforming using Support Vector Machines

Contributor: Professor Christos Christodoulou, Department of Electrical and Computer Engineering, University of New Mexico

• Modeling of Weather Radar Maps and Weather Forecasting using Radial Basis Function Neural Networks

Contributor: Professor Dimitrios Charlampidis, Department of Electrical Engineering, University of New Orleans

• Kohonen Map

Contributor: Professor Anke Meyer-Baese, Department of Scientific Computing, Florida State University

• Feature Subset Selection Using Genetic Algorithms (GAs)

Contributor: Professor George Bebis, Department of Computer Science, University of Nevada, Reno

• Signal Classification in Cognitive Radio Applications using an SVM-FFT Approach

Contributor: Professor Christos Christodoulou, Department of Electrical and Computer Engineering, University of New Mexico

• Watermarking using K-means

Contributor: Professor Dimitrios Charlampidis, Department of Electrical Engineering, University of New Orleans