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KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 7 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
IROS
2009
IEEE
144views Robotics» more  IROS 2009»
16 years 1 months ago
Improving particle filter performance using SSE instructions
Abstract— Robotics researchers are often faced with realtime constraints, and for that reason algorithmic and implementation-level optimization can dramatically increase the over...
Peter Djeu, Michael Quinlan, Peter Stone
ICASSP
2008
IEEE
16 years 1 months ago
Efficient computation of the binary vector that maximizes a rank-deficient quadratic form
The maximization of a full-rank quadratic form over a finite alphabet is NP-hard in both a worst-case sense and an average sense. Interestingly, if the rank of the form is not a ...
George N. Karystinos, Athanasios P. Liavas
ICRA
2008
IEEE
169views Robotics» more  ICRA 2008»
16 years 1 months ago
Sparse incremental learning for interactive robot control policy estimation
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
Daniel H. Grollman, Odest Chadwicke Jenkins
186
Voted
AAIM
2008
Springer
110views Algorithms» more  AAIM 2008»
16 years 1 months ago
Fixed-Parameter Algorithms for Kemeny Scores
The Kemeny Score problem is central to many applications in the context of rank aggregation. Given a set of permutations (votes) over a set of candidates, one searches for a “con...
Nadja Betzler, Michael R. Fellows, Jiong Guo, Rolf...