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» Learning from Highly Structured Data by Decomposition
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IWLCS
2001
Springer
15 years 2 months ago
Explorations in LCS Models of Stock Trading
In previous papers we have described the basic elements for building an economic model consisting of a group of artificial traders functioning and adapting in an environment conta...
Sonia Schulenburg, Peter Ross
SIGGRAPH
2000
ACM
15 years 2 months ago
Style machines
We approach the problem of stylistic motion synthesis by learning motion patterns from a highly varied set of motion capture sequences. Each sequence may have a distinct choreogra...
Matthew Brand, Aaron Hertzmann
CODES
2007
IEEE
15 years 4 months ago
Compile-time decided instruction cache locking using worst-case execution paths
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
Heiko Falk, Sascha Plazar, Henrik Theiling
EGH
2010
Springer
14 years 7 months ago
AnySL: efficient and portable shading for ray tracing
While a number of different shading languages have been developed, their efficient integration into an existing renderer is notoriously difficult, often boiling down to implementi...
Ralf Karrenberg, Dmitri Rubinstein, Philipp Slusal...
SIGSOFT
2005
ACM
15 years 10 months ago
Matching execution histories of program versions
We develop a method for matching dynamic histories of program executions of two program versions. The matches produced can be useful in many applications including software piracy...
Xiangyu Zhang, Rajiv Gupta