Large graphs arise in a number of contexts and understanding their structure and extracting
information from them is an important research area. Early algorithms for mining …

Community detection has become a popular topic in the field of network analysis and one of
the most popular methods is spectral clustering. There have been a number of proposals …

The rapid growth of audio data collection in various domains necessitates advanced
techniques for efficient analysis and classification. This dissertation proposes new …

The demand for analyzing patterns and structures of data is growing dramatically in recent
years. The study of network structure is pervasive in sociology, biology, computer science …

Vehicle recognition and classification have broad applications, ranging from traffic flow
management to military target identification. We demonstrate an unsupervised method for …

In this work, we present a variety of energy-based methods that are solutions to problems in
the fields of microscopy, hyperspectral and medical imaging, and data mining. These …