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CVPR
2007
IEEE
14 years 1 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
MICRO
2007
IEEE
164views Hardware» more  MICRO 2007»
14 years 1 months ago
A Practical Approach to Exploiting Coarse-Grained Pipeline Parallelism in C Programs
The emergence of multicore processors has heightened the need for effective parallel programming practices. In addition to writing new parallel programs, the next generation of pr...
William Thies, Vikram Chandrasekhar, Saman P. Amar...
DSS
2006
184views more  DSS 2006»
13 years 7 months ago
Building a scientific knowledge web portal: The NanoPort experience
There has been a tremendous growth in the amount of information and resources on the World Wide Web that are useful to researchers and practitioners in science domains. While the ...
Michael Chau, Zan Huang, Jialun Qin, Yilu Zhou, Hs...
POPL
2000
ACM
13 years 11 months ago
Modular Refinement of Hierarchic Reactive Machines
with existing analysis tools. Modular reasoning principles such as abstraction, compositional refinement, and assume-guarantee reasoning are well understood for architectural hiera...
Rajeev Alur, Radu Grosu
TVCG
2008
147views more  TVCG 2008»
13 years 7 months ago
Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context
Systems biologists use interaction graphs to model the behavior of biological systems at the molecular level. In an iterative process, such biologists observe the reactions of livi...
Aaron Barsky, Tamara Munzner, Jennifer L. Gardy, R...