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» A New Architecture for Automated Modelling
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CHI
2005
ACM
16 years 7 months ago
Profile before optimizing: a cognitive metrics approach to workload analysis
The Intelligence Analyst (IA) community will soon be the designated users of many new software tools. In the multitasking world of the IA, any one tool cannot be permitted to gree...
Wayne D. Gray, Michael J. Schoelles, Christopher W...
PADS
2005
ACM
16 years 4 days ago
RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises
The RINSE simulator is being developed to support large-scale network security preparedness and training exercises, involving hundreds of players and a modeled network composed of...
Michael Liljenstam, Jason Liu, David M. Nicol, You...
AAECC
2007
Springer
111views Algorithms» more  AAECC 2007»
15 years 6 months ago
When cache blocking of sparse matrix vector multiply works and why
Abstract. We present new performance models and a new, more compact data structure for cache blocking when applied to the sparse matrixvector multiply (SpM×V) operation, y ← y +...
Rajesh Nishtala, Richard W. Vuduc, James Demmel, K...
ICML
2008
IEEE
16 years 7 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
16 years 18 days ago
A low power merge cell processor for real-time spike sorting in implantable neural prostheses
Extremely low power consumption is the critical constraint for designing implantable neural decoders that inter- Desired face directly with the nervous system. Typically a system w...
M. D. Linderman, T. H. Meng