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» Randomized Algorithms and Complexity Theory
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117
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MM
2004
ACM
99views Multimedia» more  MM 2004»
15 years 8 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
COMPGEOM
2010
ACM
15 years 7 months ago
Kinetic stable Delaunay graphs
The best known upper bound on the number of topological changes in the Delaunay triangulation of a set of moving points in R2 is (nearly) cubic, even if each point is moving with ...
Pankaj K. Agarwal, Jie Gao, Leonidas J. Guibas, Ha...
JACM
2006
99views more  JACM 2006»
15 years 2 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
148
Voted
ICSM
2008
IEEE
15 years 9 months ago
Understanding the rationale for updating a function's comment
Up-to-date comments are critical for the successful evolution of a software application. When modifying a function, developers may update the comment associated with the function ...
Haroon Malik, Istehad Chowdhury, Hsiao-Ming Tsou, ...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 8 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...