Showing 1 - 10 of 3,117
Design of a classifier consists of two stages: feature extraction and classifier learning. For a better performance, the nature, characteristics, or underlying structure of data should be taken into account in either of the stages when we design a classifier. In this thesis, we present kernel...
Persistent link: https://www.econbiz.de/10009482954
Persistent link: https://www.econbiz.de/10011331579
Persistent link: https://www.econbiz.de/10008940836
In recent years, fast spreading worms have become one of the major threats to the security of the Internet. Code Red, Nimda, Slammer, Blaster, MyDoom... these worms kept hitting the Internet and caused severe damage to our society. However, until now we have not fully understand the behaviors of...
Persistent link: https://www.econbiz.de/10009468087
In this dissertation, I develop a new theoretical framework for the modeling, pricing analysis, and computation of solutions to electric power supply chains with power generators, suppliers, transmission service providers, and the inclusion of consumer demands. In particular, I advocate the...
Persistent link: https://www.econbiz.de/10009468118
The problem of learning a latent model for sparse or low-dimensional representation of high-dimensional data has attracted significant attention for many years. This thesis focuses on learning latent models for sparse or low-dimensional representation of images, dynamic data, and documents with...
Persistent link: https://www.econbiz.de/10009475387
Prescriptive decision theory requires decision-makers to express their beliefs and tastes with explicit, precise, and complete information. This information, expressed in subjective probability and utility functions, is often difficult and costly to obtain from a decision-maker. It is obvious...
Persistent link: https://www.econbiz.de/10009430597
For hyperspectral data classification, the avoidance of singularity of covariance estimates or excessive near singularity estimation error due to limited training data is a key problem. This study is intended to solve problem via regularized covariance estimators and feature extraction...
Persistent link: https://www.econbiz.de/10009430828
Persistent link: https://www.econbiz.de/10004018871
"This book investigates the advent of the emerging fifth generation (5G) networks and how they are changing the paradigm of how computing, electronics and electrical (CEE) systems are interconnected. and ways to seamlessly link together to turn the globe into a digital world"--
Persistent link: https://www.econbiz.de/10012668684