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» Using Parsimony to Guide Maximum Likelihood Searches
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ICASSP
2009
IEEE
15 years 4 months ago
Improving multi-lattice alignment based spoken keyword spotting
In previous work, we showed that using a lattice instead of the 1-best path to represent both the query and the utterance being searched is beneficial for spoken keyword spotting...
Hui Lin, Alex Stupakov, Jeff Bilmes
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 2 months ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich
ICTAI
2006
IEEE
15 years 3 months ago
Efficient Search Using Bitboard Models
This paper shows a way to speed up search by using an encoding at bit level to model a particular domain. A bitboard is an unsigned integer whose bits have been given an interpret...
Pablo San Segundo, Ramón Galán, Fern...
COR
2006
98views more  COR 2006»
14 years 9 months ago
Exploiting semidefinite relaxations in constraint programming
Constraint programming uses enumeration and search tree pruning to solve combinatorial optimization problems. In order to speed up this solution process, we investigate the use of...
Willem Jan van Hoeve
GLOBECOM
2007
IEEE
15 years 3 months ago
Reduced Complexity Sphere Decoding for Square QAM via a New Lattice Representation
— Sphere decoding (SD) is a low complexity maximum likelihood (ML) detection algorithm, which has been adapted for different linear channels in digital communications. The comple...
Luay Azzam, Ender Ayanoglu