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KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 6 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
BMCBI
2008
92views more  BMCBI 2008»
15 years 6 months ago
Proteochemometric modeling of HIV protease susceptibility
Background: A major obstacle in treatment of HIV is the ability of the virus to mutate rapidly into drug-resistant variants. A method for predicting the susceptibility of mutated ...
Maris Lapinsh, Martin Eklund, Ola Spjuth, Peteris ...
CGF
2002
184views more  CGF 2002»
15 years 6 months ago
The 3D Model Acquisition Pipeline
Three-dimensional (3D) image acquisition systems are rapidly becoming more affordable, especially systems based on commodity electronic cameras. At the same time, personal compute...
Fausto Bernardini, Holly E. Rushmeier
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 6 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
MICCAI
2006
Springer
16 years 7 months ago
Segmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
Abstract. The quantitative assessment of neck lymph nodes in the context of malign tumors requires an ecient segmentation technique for lymph nodes in tomographic 3D datasets. We p...
Bernhard Preim, Gero Strauß, Heiko Seim, Ilk...