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» Novel iteration schemes for the Cluster Variation Method
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NIPS
2003
14 years 11 months ago
Clustering with the Connectivity Kernel
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
CHI
2010
ACM
15 years 5 months ago
Evaluation of progressive image loading schemes
Although network bandwidth has increased dramatically, high-resolution images often take several seconds to load, and considerably longer on mobile devices over wireless connectio...
Chris Harrison, Anind K. Dey, Scott E. Hudson
LCN
2008
IEEE
15 years 4 months ago
Optimal distance-based clustering for tag anti-collision in RFID systems
—Tag collisions can impose a major delay in Radio Frequency IDentification (RFID) systems. Such collisions are hard to overcome with passive tags due to their limited capabiliti...
Waleed Alsalih, Kashif Ali, Hossam S. Hassanein
TIP
2008
169views more  TIP 2008»
14 years 10 months ago
Efficient Nonlocal Means for Denoising of Textural Patterns
The present paper contributes two novel techniques in the context of image restoration by nonlocal filtering. Firstly, we introduce an efficient implementation of the nonlocal mean...
Thomas Brox, Oliver Kleinschmidt, Daniel Cremers
DATAMINE
2006
89views more  DATAMINE 2006»
14 years 10 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh