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AUSAI
2006
Springer
15 years 10 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...
CGO
2010
IEEE
15 years 12 months ago
Taming hardware event samples for FDO compilation
Feedback-directed optimization (FDO) is effective in improving application runtime performance, but has not been widely adopted due to the tedious dual-compilation model, the difï...
Dehao Chen, Neil Vachharajani, Robert Hundt, Shih-...
ICCD
2008
IEEE
119views Hardware» more  ICCD 2008»
16 years 3 months ago
Hierarchical simulation-based verification of Anton, a special-purpose parallel machine
—One of the major design verification challenges in the development of Anton, a massively parallel special-purpose machine for molecular dynamics, was to provide evidence that co...
John P. Grossman, John K. Salmon, Richard C. Ho, D...
RTAS
2006
IEEE
16 years 22 days ago
Network-Code Machine: Programmable Real-Time Communication Schedules
Distributed hard real-time systems require guaranteed communication. One common approach is to restrict network access by enforcing a time-division multiple access (TDMA) schedule...
Sebastian Fischmeister, Oleg Sokolsky, Insup Lee
PAMI
2008
161views more  PAMI 2008»
15 years 6 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...