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» Static and Dynamic Evaluation of Data Dependence Analysis
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KDD
2003
ACM
113views Data Mining» more  KDD 2003»
16 years 1 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
VIP
2000
15 years 2 months ago
Functional Segmentation of Dynamic Emission Tomographic images
Emission tomography such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT) can provide in vivo measurements of dynamic physiological and...
Koon-Pong Wong, David Dagan Feng, Steven R. Meikle...
ECCV
2010
Springer
15 years 4 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
CAV
2006
Springer
146views Hardware» more  CAV 2006»
15 years 5 months ago
Termination Analysis with Calling Context Graphs
We introduce calling context graphs and various static and theorem proving based analyses that together provide a powerful method for proving termination of programs written in fea...
Panagiotis Manolios, Daron Vroon
IPPS
2006
IEEE
15 years 7 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal