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CVPR
2009
IEEE
16 years 8 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 2 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
SIGMOD
1999
ACM
101views Database» more  SIGMOD 1999»
15 years 5 months ago
Join Synopses for Approximate Query Answering
In large data warehousing environments, it is often advantageous to provide fast, approximate answers to complex aggregate queries based on statistical summaries of the full data....
Swarup Acharya, Phillip B. Gibbons, Viswanath Poos...
JCO
2011
115views more  JCO 2011»
14 years 8 months ago
Approximation scheme for restricted discrete gate sizing targeting delay minimization
Discrete gate sizing is a critical optimization in VLSI circuit design. Given a set of available gate sizes, discrete gate sizing problem asks to assign a size to each gate such th...
Chen Liao, Shiyan Hu
ICASSP
2011
IEEE
14 years 5 months ago
Error-entropy based channel state estimation of spatially correlated MIMO-OFDM
—This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) channel states in the presenc...
Hoang Duong Tuan, Ha Hoang Kha, Ha H. Nguyen