Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Abstract-The information era has brought with it the wellknown problem of 'Information Explosion'. There are many and varied search engines on the Internet but it is stil...
: One of the most pressing issues in improving disaster management is that of information integration. With many organizations involved in the disaster, crossing regional or even n...
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...