Titlebook: Advances in Artificial Intelligence: Theories, Models, and Applications; 6th Hellenic Confere Stasinos Konstantopoulos,Stavros Perantonis,G

glisten

Audio Features Selection for Automatic Height Estimation from Speechh were formed on the basis of ranking the relevance and the individual quality of numerous audio features. Specifically, based on the relevance ranking of the large set of . audio descriptors, we performed selection of subsets with different sizes and evaluated them on the height estimation task. In

cliche

刻苦讀書

小丑

Associations between Constructive Models for Set Contractiontization of revision and contraction was extended to include epistemic input represented by a (possibly infinite) . of sentences (as opposed to a . sentence) giving rise to the operators of . (also known as .) and .. Both set revision and set contraction have been characterized in terms of construct

怒目而視

極小

事與愿違

Time Does Not Always Buy Quality in Co-evolutionary Learningdually learned models more often than not results in diluting what was earlier learned and that self-playing can result in reaching plateaus of un-interesting playing behavior. These observations suggest that learning cannot be easily distributed when one hopes to harness multiple experts to develop

Vulnerary

Visual Tracking by Adaptive Kalman Filtering and Mean Shiftation of the object’s position is obtained by the mean shift tracking algorithm and it is treated as the observation for a Kalman filter. Moreover, we propose a dynamic scheme for the Kalman filter as the elements of its state matrix are updated on-line depending on a measure evaluating the quality

裹住

Melodrama

978-3-642-12841-7Springer-Verlag Berlin Heidelberg 2010