In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
We propose an interleaved memory organization supporting multi-pattern parallel accesses in twodimensional (2D) addressing space. Our proposal targets computing systems with high ...
Arseni Vitkovski, Georgi Kuzmanov, Georgi Gaydadji...
Existing cost-sensitive learning methods work with unequal misclassification cost that is given by domain knowledge and appears as precise values. In many real-world applications,...
The interactive system which interacts human with computer has been recognized as one direction of computer development for a long time. For example, in cinema, a person gets info...