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» Social Computing: Fundamentals and applications
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SAC
2009
ACM
16 years 1 months ago
Adaptive burst detection in a stream engine
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
Marcel Karnstedt, Daniel Klan, Christian Pöli...
ICASSP
2008
IEEE
16 years 1 months ago
Maximum kernel density estimator for robust fitting
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
Hanzi Wang
CCGRID
2006
IEEE
16 years 20 days ago
Actor Provenance Capture With Ganglia
Provenance is generally defined as the documentation of a process that leads to some result, and has long been recognised as being fundamental to the development of problem solvi...
Ian Wootten, Shrija Rajbhandari, Omer F. Rana, Jas...
CCGRID
2006
IEEE
16 years 20 days ago
A Core Grid Ontology for the Semantic Grid
In this paper, we propose a Core Grid Ontology (CGO) that defines fundamental Grid-specific concepts, and the relationships between them. One of the key goals is to make this Co...
Wei Xing, Marios D. Dikaiakos, Rizos Sakellariou
ICIAR
2005
Springer
16 years 3 days ago
Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences
Abstract. Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature ...
Turgay Çelik, Cem Direkoglu, Hüseyin &...