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ECCV
2008
Springer
15 years 9 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
BMCBI
2008
116views more  BMCBI 2008»
14 years 11 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
IDEAL
2004
Springer
15 years 4 months ago
Combining Gaussian Mixture Models
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
Hyoungjoo Lee, Sungzoon Cho
INFOCOM
1999
IEEE
15 years 3 months ago
Matching Output Queueing with a Combined Input Output Queued Switch
-- The Internet is facing two problems simultaneously: there is a need for a faster switching/routing infrastructure, and a need to introduce guaranteed qualities of service (QoS)....
Shang-Tse Chuang, Ashish Goel, Nick McKeown, Balaj...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 4 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...