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CVPR
2007
IEEE
15 years 10 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
BMCBI
2008
122views more  BMCBI 2008»
15 years 4 months ago
Generating samples for association studies based on HapMap data
Background: With the completion of the HapMap project, a variety of computational algorithms and tools have been proposed for haplotype inference, tag SNP selection and genome-wid...
Jing Li, Yixuan Chen
DAC
2009
ACM
16 years 5 months ago
Generating test programs to cover pipeline interactions
Functional validation of a processor design through execution of a suite of test programs is common industrial practice. In this paper, we develop a high-level architectural speci...
Thanh Nga Dang, Abhik Roychoudhury, Tulika Mitra, ...
IOLTS
2000
IEEE
105views Hardware» more  IOLTS 2000»
15 years 8 months ago
Comparison between Random and Pseudo-Random Generation for BIST of Delay, Stuck-at and Bridging Faults
The combination of higher quality requirements and sensitivity of high performance circuits to delay defects has led to an increasing emphasis on delay testing of VLSI circuits. A...
Patrick Girard, Christian Landrault, Serge Pravoss...
JCB
2006
129views more  JCB 2006»
15 years 4 months ago
GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data
Genome-wide microarray designs containing millions to hundreds of millions of probes are available for a variety of mammals, including mouse and human. These genome tiling arrays ...
Brendan J. Frey, Quaid Morris, Timothy R. Hughes