We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Content-based full-text search is a challenging problem in Peer-toPeer (P2P) systems. Traditional approaches have either been centralized or use flooding to ensure accuracy of th...
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Typical application scenarios in the area of rich-media management, such as the continuous digitisation of the media production processes, the search and retrieval tasks in a grow...
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...