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TIP
2010
182views more  TIP 2010»
14 years 10 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
DAC
2000
ACM
16 years 4 months ago
Code compression for low power embedded system design
erse approaches at all levels of abstraction starting from the physical level up to the system level. Experience shows that a highlevel method may have a larger impact since the de...
Haris Lekatsas, Jörg Henkel, Wayne Wolf
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
15 years 9 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov
COMPGEOM
2004
ACM
15 years 9 months ago
Low-dimensional embedding with extra information
A frequently arising problem in computational geometry is when a physical structure, such as an ad-hoc wireless sensor network or a protein backbone, can measure local information...
Mihai Badoiu, Erik D. Demaine, Mohammad Taghi Haji...
KR
1992
Springer
15 years 8 months ago
Embedding Defaults into Terminological Knowledge Representation Formalisms
Abstract, We consider the problem of integrating Reiter's default logic into terminological representation systems. It turns out that such an integration is less straightforwa...
Franz Baader, Bernhard Hollunder