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» Generation of Semantic Regions from Image Sequences
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ECCV
2000
Springer
16 years 8 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
BMCBI
2011
14 years 10 months ago
SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
Xutao Deng
JUCS
2008
187views more  JUCS 2008»
15 years 6 months ago
Semantic Information in Medical Information Systems: Utilization of Text Mining Techniques to Analyze Medical Diagnoses
: Most information in Hospitals is still only available in text format and the amount of this data is immensely increasing. Consequently, text mining is an essential area of medica...
Andreas Holzinger, Regina Geierhofer, Felix Mö...
BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens
Background: Pathogen detection using DNA microarrays has the potential to become a fast and comprehensive diagnostics tool. However, since pathogen detection chips currently utili...
Wah-Heng Lee, Christopher W. Wong, Wan Yee Leong, ...
WCRE
2003
IEEE
15 years 11 months ago
Extracting an Explicitly Data-Parallel Representation of Image-Processing Programs
Our research goal is to retarget image processing programs written in sequential languages (e.g., C) to architectures with data-parallel processing capabilities. Image processing ...
Lewis B. Baumstark Jr., Murat Guler, Linda M. Will...