The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
—Previous vector architectures divided the available register file space in a fixed number of registers of equal sizes and shapes. We propose a register file organization whic...
Catalin Bogdan Ciobanu, Georgi Kuzmanov, Georgi Ga...
This paper proposes a novel framework for music content indexing and retrieval. The music structure information, i.e., timing, harmony and music region content, is represented by ...
Namunu Chinthaka Maddage, Haizhou Li, Mohan S. Kan...
— One of the critical issues in search engines is the size of search indexes: as the number of documents handled by an engine increases, the search must preserve its efficiency,...
The central topic of the paper is the learnability of the recursively enumerable subspaces of V∞/V , where V∞ is the standard recursive vector space over the rationals with (c...