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DCC
2006
IEEE
14 years 9 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
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...
D. Sculley, Carla E. Brodley
SAMOS
2010
Springer
13 years 8 months ago
A Polymorphic Register File for matrix operations
—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...
SIGIR
2006
ACM
14 years 3 months ago
Music structure based vector space retrieval
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...
DEXAW
2008
IEEE
120views Database» more  DEXAW 2008»
14 years 4 months ago
Self-Similarity Metric for Index Pruning in Conceptual Vector Space Models
— 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,...
Dario Bonino, Fulvio Corno
ALT
2002
Springer
14 years 7 months ago
On the Learnability of Vector Spaces
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...
Valentina S. Harizanov, Frank Stephan