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ECCC
2006
96views more  ECCC 2006»
14 years 9 months ago
When Does Greedy Learning of Relevant Features Succeed? --- A Fourier-based Characterization ---
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...
Jan Arpe, Rüdiger Reischuk
ICCV
2009
IEEE
16 years 2 months ago
Higher-Order Gradient Descent by Fusion-Move Graph Cut
Markov Random Field is now ubiquitous in many formulations of various vision problems. Recently, optimization of higher-order potentials became practical using higherorder graph...
Hiroshi Ishikawa
CIBCB
2007
IEEE
15 years 4 months ago
Overestimation for Multiple Sequence Alignment
Abstract— Multiple sequence alignment is an important problem in computational biology. A-star is an algorithm that can be used to find exact alignments. We present a simple mod...
Tristan Cazenave
CP
2007
Springer
15 years 3 months ago
On Universal Restart Strategies for Backtracking Search
Abstract. Constraint satisfaction and propositional satisfiability problems are often solved using backtracking search. Previous studies have shown that a technique called randomi...
Huayue Wu, Peter van Beek
COCOON
2007
Springer
15 years 3 months ago
Improved Throughput Bounds for Interference-Aware Routing in Wireless Networks
We propose new algorithms and improved bounds for interference-aware routing in wireless networks. First, we prove that n arbitrarily matched source-destinations pairs with average...
Chiranjeeb Buragohain, Subhash Suri, Csaba D. T&oa...