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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
13 years 5 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
14 years 1 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...
CVIU
2008
180views more  CVIU 2008»
13 years 8 months ago
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
Yun Zeng, Dimitris Samaras, Wei Chen, Qunsheng Pen...
CG
1999
Springer
13 years 7 months ago
A visibility algorithm for hybrid geometry- and image-based modeling and rendering
Hybrid geometry- and image-based modeling and rendering systems use photographs taken of a real-world environment and mapped onto the surfaces of a 3D model to achieve photorealis...
Thomas A. Funkhouser
CCGRID
2007
IEEE
14 years 2 months ago
Relative Performance of Scheduling Algorithms in Grid Environments
Abstract— Effective scheduling is critical for the performance of an application launched onto the Grid environment [11], [12]. Finding effective scheduling algorithms for this...
Yang Zhang, Charles Koelbel, Ken Kennedy