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SIGMOD
2012
ACM
212views Database» more  SIGMOD 2012»
11 years 11 months ago
Local structure and determinism in probabilistic databases
While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
Theodoros Rekatsinas, Amol Deshpande, Lise Getoor
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
ICIP
2002
IEEE
14 years 1 months ago
Evaluation of reproducibility for manual and semi-automated feature extraction in CT and MR images
Three methods for extraction and quantitative measurement of features in CT and MR images are examined: hand tracing, semi-automated tracing using the livewire graph search algori...
Edward A. Ashton, Larry Molinelli, Saara Totterman...
ICMS
2010
13 years 7 months ago
TADD: A Computational Framework for Data Analysis Using Discrete Morse Theory
This paper presents a computational framework that allows for a robust extraction of the extremal structure of scalar and vector fields on 2D manifolds embedded in 3D. This struct...
Jan Reininghaus, David Günther, Ingrid Hotz, ...
JMLR
2012
11 years 11 months ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...