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» Detection of Spatial Changes using Spatial Data Mining
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CIKM
2010
Springer
13 years 6 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
ITCC
2005
IEEE
14 years 1 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
ICDE
1997
IEEE
130views Database» more  ICDE 1997»
14 years 9 months ago
High-Dimensional Similarity Joins
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal
VC
2008
99views more  VC 2008»
13 years 7 months ago
Minimizing probable collision pairs searched in interactive animation authoring
Animation authoring involves an author's interaction with a scene, resulting in varying scene complexity for a given animation sequence. In such a varying environment, detecti...
Parag Agarwal, Srinivas Rajagopalan, B. Prabhakara...
CVPR
2004
IEEE
14 years 10 months ago
A Unified Spatio-Temporal Articulated Model for Tracking
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
Xiangyang Lan, Daniel P. Huttenlocher