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» Using a neural network in the software testing process
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ICIP
2007
IEEE
14 years 3 months ago
Using a Markov Network to Recognize People in Consumer Images
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
Andrew C. Gallagher, Tsuhan Chen
BMCBI
2006
174views more  BMCBI 2006»
13 years 9 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
ISSRE
2010
IEEE
13 years 7 months ago
Pinpointing the Subsystems Responsible for the Performance Deviations in a Load Test
—Large scale systems (LSS) contain multiple subsystems that interact across multiple nodes in sometimes unforeseen and complicated ways. As a result, pinpointing the subsystems t...
Haroon Malik, Bram Adams, Ahmed E. Hassan
ASPDAC
2006
ACM
133views Hardware» more  ASPDAC 2006»
14 years 3 months ago
An SPU reference model for simulation, random test generation and verification
– An instruction set level reference model was developed for the development of synergistic processing unit (SPU) , which is one of the key components of the cell processor [1][2...
Yukio Watanabe, Balazs Sallay, Brad W. Michael, Da...
ICANN
2005
Springer
14 years 2 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...