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» Informative sampling for large unbalanced data sets
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150
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BMCBI
2010
229views more  BMCBI 2010»
15 years 3 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
VIS
2005
IEEE
146views Visualization» more  VIS 2005»
16 years 4 months ago
View Selection for Volume Rendering
In a visualization of a three-dimensional dataset, the insights gained are dependent on what is occluded and what is not. Suggestion of interesting viewpoints can improve both the...
Udeepta Bordoloi, Han-Wei Shen
172
Voted
CIVR
2010
Springer
246views Image Analysis» more  CIVR 2010»
15 years 1 months ago
Genre-specific semantic video indexing
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...
Jun Wu, Marcel Worring
113
Voted
MICCAI
2009
Springer
16 years 3 months ago
Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiativ
Tensor-based morphometry (TBM) is an analysis technique where anatomical information is characterized by means of the spatial transformations between a customized template and obse...
Ernesto Zacur, Matías Nicolás Bossa,...
WWW
2010
ACM
15 years 10 months ago
CETR: content extraction via tag ratios
We present Content Extraction via Tag Ratios (CETR) – a method to extract content text from diverse webpages by using the HTML document’s tag ratios. We describe how to comput...
Tim Weninger, William H. Hsu, Jiawei Han