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ICASSP
2011
IEEE
12 years 11 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
BMCBI
2010
120views more  BMCBI 2010»
13 years 7 months ago
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
Background: Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a u...
Aarti Garg, Rupinder Tewari, Gajendra P. S. Raghav...
NIPS
2000
13 years 9 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
DAC
2000
ACM
14 years 8 months ago
Self-test methodology for at-speed test of crosstalk in chip interconnects
The effect of crosstalk errors is most significant in highperformance circuits, mandating at-speed testing for crosstalk defects. This paper describes a self-test methodology that...
Xiaoliang Bai, Sujit Dey, Janusz Rajski
ENVSOFT
2008
175views more  ENVSOFT 2008»
13 years 7 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...