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COMPGEOM
2004
ACM
16 years 8 hour ago
A computational framework for incremental motion
We propose a generic computational framework for maintaining a discrete geometric structure defined by a collection of static and mobile objects. We assume that the mobile object...
David M. Mount, Nathan S. Netanyahu, Christine D. ...
ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
16 years 1 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
ICEB
2004
177views Business» more  ICEB 2004»
15 years 8 months ago
Integrated Optimization Model of Production Planning and Scheduling for Batch Production
An integrated optimization model of production plan and scheduling is introduced. Function objective is to minimize sum of total setup cost (initial setup cost and related setup c...
Wenli Shang, Yushun Fan
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 7 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
SIAMAM
2000
90views more  SIAMAM 2000»
15 years 6 months ago
Local Strong Homogeneity of a Regularized Estimator
This paper deals with regularized pointwise estimation of discrete signals which contain large strongly homogeneous zones, where typically they are constant, or linear, or more gen...
Mila Nikolova