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WCRE
2002
IEEE
16 years 11 days ago
Exposing Data-Level Parallelism in Sequential Image Processing Algorithms
As new computer architectures are developed to exploit large-scale data-level parallelism, techniques are needed to retarget legacy sequential code to these platforms. Sequential ...
Lewis B. Baumstark Jr., Linda M. Wills
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
16 years 8 hour ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
ICPP
1999
IEEE
15 years 11 months ago
Improving Performance of Load-Store Sequences for Transaction Processing Workloads on Multiprocessors
On-line transaction processing exhibits poor memory behavior in high-end multiprocessor servers because of complex sharing patterns and substantial interaction between the databas...
Jim Nilsson, Fredrik Dahlgren
EVOW
2009
Springer
15 years 11 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
ECCV
2010
Springer
15 years 10 months ago
Anomalous Behaviour Detection using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Pro
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...