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NIPS
1998
13 years 11 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
PPSC
1997
13 years 11 months ago
The Future Fast Fourier Transform?
It seems likely that improvements in arithmetic speed will continue to outpace advances in communication bandwidth. Furthermore, as more and more problems are working on huge datas...
Alan Edelman, Peter McCorquodale, Sivan Toledo
DEXA
2010
Springer
180views Database» more  DEXA 2010»
13 years 11 months ago
Identifying Interesting Instances for Probabilistic Skylines
Significant research efforts have recently been dedicated to modeling and querying uncertain data. In this paper, we focus on skyline analysis of uncertain data, modeled as uncert...
Yinian Qi, Mikhail J. Atallah
ICMCS
2010
IEEE
217views Multimedia» more  ICMCS 2010»
13 years 11 months ago
3D Image format identification by image difference
Many 3D formats exist and will co-exist for a long time since there is no 3D standard that defines a generally accepted 3D format. The support for multiple 3D formats will be impo...
Tao Zhang
BMCBI
2010
95views more  BMCBI 2010»
13 years 10 months ago
Heuristics for the inversion median problem
Background: The study of genome rearrangements has become a mainstay of phylogenetics and comparative genomics. Fundamental in such a study is the median problem: given three geno...
Vaibhav Rajan, Andrew Wei Xu, Yu Lin, Krister M. S...