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778views
16 years 8 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
IJNS
2000
130views more  IJNS 2000»
14 years 9 months ago
A Programmable VLSI Filter Architecture for Application in Real-Time Vision Processing Systems
An architecture is proposed for the realization of real-time edge-extraction filtering operation in an Address-Event-Representation (AER) vision system. Furthermore, the approach ...
Teresa Serrano-Gotarredona, Andreas G. Andreou, Be...
DATAMINE
2006
142views more  DATAMINE 2006»
14 years 10 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
ICANN
2007
Springer
15 years 4 months ago
Towards Understanding of Natural Language: Neurocognitive Inspirations
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
ISCC
2006
IEEE
123views Communications» more  ISCC 2006»
15 years 3 months ago
Similarity Search in a Hybrid Overlay P2P Network
P2P systems are increasingly used to discover and share various data between users. The performance of a P2P based information retrieval system is determined by the efficiency of...
Mouna Kacimi, Kokou Yétongnon