Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
In this paper a novel "Smart Media" concept for semantic-based multimedia security and management is proposed. This concept is based on interactive object segmentation (...
Videos contain rich information. Until recently, information within a video had been largely left under-utilized, with fast forward/rewind as the most popular method of accessing ...
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...