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» Learning Regular Expressions from Noisy Sequences
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105
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ICIAP
2001
Springer
16 years 26 days ago
Recognition of Shape-Changing Hand Gestures Based on Switching Linear Model
We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes a...
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yo...
PAM
2010
Springer
15 years 7 months ago
Network DVR: A Programmable Framework for Application-Aware Trace Collection
Network traces are essential for a wide range of network applications, including traffic analysis, network measurement, performance monitoring, and security analysis. Existing cap...
Chia-Wei Chang, Alexandre Gerber, Bill Lin, Subhab...
CVPR
2011
IEEE
14 years 9 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
91
Voted
NAR
2007
90views more  NAR 2007»
15 years 7 days ago
PigGIS: Pig Genomic Informatics System
Pig Genomic Information System (PigGIS) is a web-based depository of pig (Sus scrofa) genomic learning mainly engineered for biomedical research to locate pig genes from their hum...
Jue Ruan, Yiran Guo, Heng Li, Yafeng Hu, Fei Song,...
91
Voted
BILDMED
2007
107views Algorithms» more  BILDMED 2007»
15 years 2 months ago
Whole Body MRI Intensity Standardization
Abstract. A major problem of segmentation of magnetic resonance images is that intensities are not standardized like in computed tomography. This article deals with the correction ...
Florian Jäger, László G. Ny&uac...