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ASPLOS
2012
ACM
14 years 1 months ago
Comprehensive kernel instrumentation via dynamic binary translation
Dynamic binary translation (DBT) is a powerful technique that enables fine-grained monitoring and manipulation of an existing program binary. At the user level, it has been emplo...
Peter Feiner, Angela Demke Brown, Ashvin Goel
ICCV
2009
IEEE
16 years 11 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
ICML
2008
IEEE
16 years 7 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...
ICML
2008
IEEE
16 years 7 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
SIGSOFT
2007
ACM
16 years 7 months ago
Beyond refactoring: a framework for modular maintenance of crosscutting design idioms
Despite the automated refactoring support provided by today's IDEs many program transformations that are easy to conceptualize-such as improving the implementation of a desig...
Macneil Shonle, William G. Griswold, Sorin Lerner