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DATE
2009
IEEE
113views Hardware» more  DATE 2009»
16 years 9 days ago
New simulation methodology of 3D surface roughness loss for interconnects modeling
— As clock frequencies exceed giga-Hertz, the extra power loss due to conductor surface roughness in interconnects and packagings is more evident and thus demands a proper accou...
Quan Chen, Ngai Wong
FOCI
2007
IEEE
15 years 12 months ago
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
Byoung-Tak Zhang
WACV
2005
IEEE
15 years 11 months ago
Semi-Supervised Self-Training of Object Detection Models
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
Chuck Rosenberg, Martial Hebert, Henry Schneiderma...
NIPS
1998
15 years 6 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
COGSCI
2002
71views more  COGSCI 2002»
15 years 5 months ago
Spanning seven orders of magnitude: a challenge for cognitive modeling
Much of cognitive psychology focuses on effects measured in tens of milliseconds while significant educational outcomes take tens of hours to achieve. The task of bridging this ga...
John R. Anderson