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» Detecting Motifs from Sequences
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DAGM
2007
Springer
15 years 10 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
BILDMED
2008
141views Algorithms» more  BILDMED 2008»
15 years 7 months ago
Analysis of Cerebral Blood Flow from Small Rodents
The exact knowledge of the blood vessel geometry plays an important role, not only in clinical applications (stroke diagnosis, detection of stenosis), but also for detailed analysi...
Monika Lehmpfuhl, Manuel André Gaudnek, And...
ICPR
2010
IEEE
15 years 4 months ago
Tracking Ships from Fast Moving Camera through Image Registration
This paper presents an algorithm that detects and tracks marine vessels in video taken by a non-stationary camera installed on an untethered buoy. 1 The video is characterized by ...
Sergiy Fefilatyev, Dmitry B. Goldgof, Chad Lembke
BMCBI
2010
157views more  BMCBI 2010»
15 years 6 months ago
SeqTrim: a high-throughput pipeline for pre-processing any type of sequence read
Background: High-throughput automated sequencing has enabled an exponential growth rate of sequencing data. This requires increasing sequence quality and reliability in order to a...
Juan Falgueras, Antonio J. Lara, Noé Fern&a...
BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptim
Background: RNAmute is an interactive Java application which, given an RNA sequence, calculates the secondary structure of all single point mutations and organizes them into categ...
Alexander Churkin, Danny Barash