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CGF
2004
138views more  CGF 2004»
15 years 1 months ago
Fast Hybrid Approach for Texturing Point Models
We present three methods for texturing point models from sample textures. The first method, the point parameterization method, uses a fast distortion-bounded parameterization algo...
Haitao Zhang, Feng Qiu, Arie E. Kaufman
BMCBI
2007
128views more  BMCBI 2007»
15 years 1 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
CORR
2011
Springer
219views Education» more  CORR 2011»
14 years 8 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
IJON
2007
104views more  IJON 2007»
15 years 1 months ago
A probabilistic model of eye movements in concept formation
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
Jonathan D. Nelson, Garrison W. Cottrell
TMI
2010
112views more  TMI 2010»
14 years 11 months ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...