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» Maximal Vector Computation in Large Data Sets
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IV
2009
IEEE
141views Visualization» more  IV 2009»
16 years 1 months ago
VioNeS - Visual Support for the Analysis of the Next Sub-volume Method
Computational simulation is an established method to gain insight into cellular processes. As the resulting data sets are usually large and complex, visualization can play a signi...
Andrea Unger, Enrico Gutzeit, Matthias Jeschke, He...
BMCBI
2006
100views more  BMCBI 2006»
15 years 7 months ago
Towards a better solution to the shortest common supersequence problem: the deposition and reduction algorithm
Background: The problem of finding a Shortest Common Supersequence (SCS) of a set of sequences is an important problem with applications in many areas. It is a key problem in biol...
Kang Ning, Hon Wai Leong
CVPR
2010
IEEE
16 years 3 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
222
Voted
CCGRID
2003
IEEE
16 years 9 days ago
Using grid technologies to face medical image analysis challenges
The availability of digital imagers inside hospitals and their ever growing inspection capabilities have established digital medical images as a key component of many pathologies ...
Johan Montagnat, Vincent Breton, Isabelle E. Magni...
302
Voted
SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
16 years 7 months ago
SPADE: the system s declarative stream processing engine
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip...