Current/Recent Projects at IDEAL

How to become a sponsor of IDEAL

We are primarily concerned with analyzing data in various forms - web logs, hypertext, XML, databases, signals and images - in order to characterize and understand the underlying phenomena. Some of our approaches use neurobiologically inspired models while others are more closely related to statistical methods or machine learning and AI techniques.

Advanced learning and integrative knowledge transfer approaches to remote sensing and forecast modeling for understanding land use change (NSF)

Also see Extraction and Interpretation of Information from Large-Scale Hyperspectral Data for Mapping and Monitoring Wetland Ecosystems (NSF)

Versatile Co-clustering Analysis for Bi-modal and Multi-modal Data (NSF)

Also see Scalable Clustering of Complex Data Types (NSF)

A Study of Potential Techniques for Labelling Hierarchically Organized Web-pages (Yahoo!)

Gene Network Discovery (NSF)

Some Older Projects

Back to IDEAL Homepage