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GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
14 years 17 days ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
ICCV
2007
IEEE
14 years 10 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
HPCA
2006
IEEE
14 years 8 months ago
CMP design space exploration subject to physical constraints
This paper explores the multi-dimensional design space for chip multiprocessors, exploring the inter-related variables of core count, pipeline depth, superscalar width, L2 cache s...
Yingmin Li, Benjamin C. Lee, David Brooks, Zhigang...
ICSE
2007
IEEE-ACM
14 years 8 months ago
Parallel Randomized State-Space Search
Model checkers search the space of possible program behaviors to detect errors and to demonstrate their absence. Despite major advances in reduction and optimization techniques, s...
Matthew B. Dwyer, Sebastian G. Elbaum, Suzette Per...
CF
2010
ACM
14 years 1 months ago
Enabling a highly-scalable global address space model for petascale computing
Over the past decade, the trajectory to the petascale has been built on increased complexity and scale of the underlying parallel architectures. Meanwhile, software developers hav...
Vinod Tipparaju, Edoardo Aprà, Weikuan Yu, ...