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» Activity Modeling Using Event Probability Sequences
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VTC
2006
IEEE
107views Communications» more  VTC 2006»
15 years 8 months ago
Cross-Layer Modeling of Capacity of UMTS/HSDPA Networks Under Dynamic User Setting
— We focus in this paper on the cross-layer modeling of the integration of streaming and elastic flows in the downlink of UMTS/HSDPA systems. Streaming flows are transported ov...
Tijani Chahed, Mariana Dirani
BMCBI
2004
208views more  BMCBI 2004»
15 years 2 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
ECCV
1996
Springer
16 years 4 months ago
Learning Dynamics of Complex Motions from Image Sequences
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...
MMS
2006
15 years 2 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
RECOMB
2002
Springer
16 years 2 months ago
DNA sequence evolution with neighbor-dependent mutation
We introduce a model of DNA sequence evolution which can account for biases in mutation rates that depend on the identity of the neighboring bases. An analytic solution for this c...
Peter F. Arndt, Christopher B. Burge, Terence Hwa