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GRC
2010
IEEE
14 years 11 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
IEEEICCI
2007
IEEE
15 years 4 months ago
An Image Association Model of the Brodmann Areas
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
Douglas S. Greer
ANCS
2009
ACM
14 years 7 months ago
Weighted random oblivious routing on torus networks
Torus, mesh, and flattened butterfly networks have all been considered as candidate architectures for on-chip interconnection networks. In this paper, we study the problem of opti...
Rohit Sunkam Ramanujam, Bill Lin
DAC
2009
ACM
15 years 11 months ago
Context-sensitive timing analysis of Esterel programs
Traditionally, synchronous languages, such as Esterel, have been compiled into hardware, where timing analysis is relatively easy. When compiled into software ? e.g., into sequent...
Lei Ju, Bach Khoa Huynh, Samarjit Chakraborty, Abh...
DAC
2004
ACM
15 years 11 months ago
A scalable soft spot analysis methodology for compound noise effects in nano-meter circuits
Circuits using nano-meter technologies are becoming increasingly vulnerable to signal interference from multiple noise sources as well as radiation-induced soft errors. One way to...
Chong Zhao, Xiaoliang Bai, Sujit Dey