I MAGE S UBSET S ELECTION U SING G ABOR F ILTERS A ND N EURAL N ETWORKS
Waterfall: Rapid identification of IP flows using cascade classification
Implementation and Evaluation of Signal Processing Techniques for EEG based Brain Computer Interface
0003179 Environment Spectral Umixing Versus Spectral Angle Mapper for Land Degradation Assessment a Case Study in Southern Spain
Exposing Digital Image Forgeries by Illumination
A Statistical Analysis of Timbre Descriptors on Musical Instrument Classification
Exposing Digital Image
The Center for Signal & Image Processing Georgia Institute of Technology Kernel-Based Detectors and Fusion of Phonological Attributes Brett Matthews Mark.
Text Specificity and Impact on Quality of News Summaries Annie Louis & Ani Nenkova University of Pennsylvania June 24, 2011.
SUPPORT VECTOR MACHINES PRESENTED BY MUTHAPPA. Introduction Support Vector Machines(SVMs) are supervised learning models with associated learning algorithms.
Artificial Intelligence 7. Decision trees Japan Advanced Institute of Science and Technology (JAIST) Yoshimasa Tsuruoka.
