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NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 7 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
SAC
2008
ACM
13 years 7 months ago
A hybrid software-based self-testing methodology for embedded processor
Software-based self-test (SBST) is emerging as a promising technology for enabling at-speed testing of high-speed embedded processors testing in an SoC system. For SBST, test rout...
Tai-Hua Lu, Chung-Ho Chen, Kuen-Jong Lee
BMCBI
2011
12 years 11 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
ICTAI
1992
IEEE
13 years 11 months ago
Automated Parameter Tuning in Stereo Vision Under Time Constraints
This paper presents a method for tuning parameters under a fixed time constraint for a general binocular stereo-vision algorithm. A major difficulty in stereo vision, as well as i...
Steven R. Schwartz, Benjamin W. Wah
PAMI
2006
145views more  PAMI 2006»
13 years 7 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...