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CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
14 years 4 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
JAIR
1998
198views more  JAIR 1998»
13 years 10 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
BMCBI
2010
123views more  BMCBI 2010»
13 years 10 months ago
Decoding HMMs using the k best paths: algorithms and applications
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
Daniel G. Brown 0001, Daniil Golod
ICPR
2008
IEEE
14 years 4 months ago
A new algorithm for static camera foreground segmentation via active coutours and GMM
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
Chengkai Wan, Baozong Yuan, Zhenjiang Miao
CVIU
2010
267views more  CVIU 2010»
13 years 7 months ago
Accelerated hardware video object segmentation: From foreground detection to connected components labelling
This paper demonstrates the use of a single-chip FPGA for the segmentation of moving objects in a video sequence. The system maintains highly accurate background models, and integ...
Kofi Appiah, Andrew Hunter, Patrick Dickinson, Hon...