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» Selectivity Estimation using Probabilistic Models
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ICCV
2009
IEEE
16 years 9 months ago
Directional Statistics BRDF Model
We introduce a novel parametric BRDF model that can accurately encode a wide variety of real-world isotropic BRDFs with a small number of parameters. The key observation we make...
Ko Nishino
RECOMB
2003
Springer
16 years 5 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
150
Voted
IJCV
2007
196views more  IJCV 2007»
15 years 4 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
159
Voted
MTA
2007
110views more  MTA 2007»
15 years 4 months ago
On aggregate available bandwidth in many-to-one data transfer - modeling and applications
Abstract This work investigates the modeling of aggregate available bandwidth in multisender network applications. Unlike the well-established client–server model, where there is...
S. C. Hui, Jack Y. B. Lee
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 11 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...