In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
EEG segments recorded during microsleep events were transformed to the frequency domain and were subsequently clustered without the common summation of power densities in spectral ...
The importance of large-scale electrical business processing is increasing today as recent Internet technologies build on the basic infrastructure. Simply integrating existing tec...
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Document clustering has many uses in natural language tools and applications. For instance, summarizing sets of documents that all describe the same event requires first identifyi...