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» On computational limitations of neural network architectures
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ECCV
2000
Springer
14 years 10 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
CCR
2008
99views more  CCR 2008»
13 years 9 months ago
The resource pooling principle
Since the ARPAnet, network designers have built localized mechanisms for statistical multiplexing, load balancing, and failure resilience, often without understanding the broader ...
Damon Wischik, Mark Handley, Marcelo Bagnulo Braun
GECCO
2004
Springer
14 years 2 months ago
Evolving a Roving Eye for Go
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
Kenneth O. Stanley, Risto Miikkulainen
SAC
2004
ACM
14 years 2 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
HOTI
2002
IEEE
14 years 1 months ago
Distributed-and-Split Data-Control Extension to SCSI for Scalable Storage Area Networks
A “Storage-Area Network” (SAN) comprises computers (“Initiators”), storage “block devices” (“Targets”), and a Controller(s). Most SANs use the SCSI protocol over v...
Yitzhak Birk, Nafea Bishara