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» Algorithmic Randomness of Closed Sets
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KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 4 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
WG
1993
Springer
15 years 8 months ago
Graphs, Hypergraphs and Hashing
Minimal perfect hash functions are used for memory efficient storage and fast retrieval of items from static sets. We present an infinite family of efficient and practical algori...
George Havas, Bohdan S. Majewski, Nicholas C. Worm...
FUIN
2008
98views more  FUIN 2008»
15 years 4 months ago
A Restarted Strategy for Efficient Subsumption Testing
We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
Ondrej Kuzelka, Filip Zelezný
TIP
2010
94views more  TIP 2010»
14 years 10 months ago
User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
One weakness in the existing interactive image segmentation algorithms is the lack of more intelligent ways to understand the intention of user inputs. In this paper, we advocate t...
Wenxian Yang, Jianfei Cai, Jianmin Zheng, Jiebo Lu...
129
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ICASSP
2011
IEEE
14 years 7 months ago
Exploiting an interplay between norms to analyze scalar quantization schemes
Quantization is intrinsic to several data acquisition systems. This process is especially important in distributed settings, where observations must rst be compressed before they ...
Parimal Parag, Jean-François Chamberland