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CVPR
2010
IEEE
15 years 10 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
DMIN
2007
186views Data Mining» more  DMIN 2007»
15 years 3 months ago
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
Gary M. Weiss, Kate McCarthy, Bibi Zabar
HPCC
2005
Springer
15 years 7 months ago
A Loop-Aware Search Strategy for Automated Performance Analysis
Abstract. Automated online search is a powerful technique for performance diagnosis. Such a search can change the types of experiments it performs while the program is running, mak...
Eli D. Collins, Barton P. Miller
AAAI
2008
15 years 4 months ago
Clause Learning Can Effectively P-Simulate General Propositional Resolution
Currently, the most effective complete SAT solvers are based on the DPLL algorithm augmented by clause learning. These solvers can handle many real-world problems from application...
Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, A...