We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
This paper describes issues related to integrating image analysis techniques into case-based reasoning. Although the approach is generic, a high-throughput protein crystallization...
Igor Jurisica, Phil Rogers, Janice I. Glasgow, Suz...
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Intensive research and development has been conducted in the design and creation of groupware systems for distributed users. While for some activities, these groupware tools are wi...