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» Fast Feature Selection Using Fractal Dimension
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BMCBI
2010
178views more  BMCBI 2010»
13 years 8 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
CSREAESA
2004
13 years 9 months ago
Language Selection for Mobile Systems: Java, C, or Both?
For many years, C has been known as a fast, yet unfriendly language. Similarly, Java presents its own trade-offs, including more advanced language features at the cost of slower ex...
Keith S. Vallerio, Niraj K. Jha
TIP
2010
90views more  TIP 2010»
13 years 3 months ago
Fast Query for Exemplar-Based Image Completion
In this paper, we present a fast algorithm for filling unknown regions in an image using the strategy of exemplarmatching. Unlike the original exemplar-based method using exhaustiv...
Tsz-Ho Kwok, Hoi Sheung, Charlie C. L. Wang
ICRA
2009
IEEE
100views Robotics» more  ICRA 2009»
13 years 6 months ago
Multi-robot plan adaptation by constrained minimal distortion feature mapping
We propose a novel method for multi-robot plan adaptation which can be used for adapting existing spatial plans of robotic teams to new environments or imitating collaborative spat...
Bálint Takács, Yiannis Demiris
ICCV
2007
IEEE
14 years 10 months ago
Linear Predictors for Fast Simultaneous Modeling and Tracking
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
Liam Ellis, Nicholas Dowson, Jiri Matas, Richard B...