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JMLR
2010
141views more  JMLR 2010»
13 years 3 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
CVPR
2008
IEEE
14 years 10 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
IPPS
2009
IEEE
14 years 3 months ago
Exploring FPGAs for accelerating the phylogenetic likelihood function
Driven by novel biological wet lab techniques such as pyrosequencing there has been an unprecedented molecular data explosion over the last 2-3 years. The growth of biological seq...
Nikolaos Alachiotis, Euripides Sotiriades, Apostol...
3DGIS
2006
Springer
14 years 2 months ago
3D Navigation for 3D-GIS - Initial Requirements
The needs for three-dimensional (3D) visualization and navigation within 3D-GIS environment are growing and expanding rapidly in a variety of fields. In a steady shift from tradit...
Ivin Amri Musliman, Alias Abdul-Rahman, Volker Coo...
BMCBI
2004
113views more  BMCBI 2004»
13 years 8 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...