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» Efficiently Mining Regional Outliers in Spatial Data
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ICRA
2000
IEEE
136views Robotics» more  ICRA 2000»
14 years 2 days ago
Registration of Range Data Using a Hybrid Simulated Annealing and Iterative Closest Point Algorithm
The need to register data is abundant in applications such as: world modeling, part inspection and manufacturing, object recognition, pose estimation, robotic navigation, and reve...
Jason P. Luck, Charles Q. Little, William Hoff
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
RECOMB
2009
Springer
14 years 8 months ago
An Online Approach for Mining Collective Behaviors from Molecular Dynamics Simulations
Collective behavior involving distally separate regions in a protein is known to widely affect its function. In this paper, we present an online approach to study and characterize ...
Arvind Ramanathan, Pratul K. Agarwal, Maria Kurnik...
ICIP
2002
IEEE
14 years 9 months ago
Fast and effective characterization of 3D region data
We consider the problem of characterization of spatial region data such as the regions of interest (ROIs) in medical images. We propose a method that efficiently extracts a k-dime...
Vasileios Megalooikonomou, Haimonti Dutta, Despina...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe