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» Scalable Clustering Algorithms with Balancing Constraints
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CVPR
2011
IEEE
12 years 11 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
13 years 12 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
PDPTA
2004
13 years 9 months ago
Efficient Disk Replacement and Data Migration Algorithms for Large Disk Subsystems
Random data placement has recently emerged as an alternative to traditional data striping. From a performance perspective, it has been demonstrated to be an efficient and scalable...
Roger Zimmermann, Beomjoo Seo
ASPDAC
2010
ACM
637views Hardware» more  ASPDAC 2010»
13 years 5 months ago
A new graph-theoretic, multi-objective layout decomposition framework for double patterning lithography
As Double Patterning Lithography(DPL) becomes the leading candidate for sub-30nm lithography process, we need a fast and lithography friendly decomposition framework. In this pape...
Jae-Seok Yang, Katrina Lu, Minsik Cho, Kun Yuan, D...
JCP
2006
111views more  JCP 2006»
13 years 7 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham