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CONCUR
1998
Springer
13 years 11 months ago
The Regular Viewpoint on PA-Processes
PA is the process algebra allowing non-determinism, sequential and parallel compositions, and recursion. We suggest viewing PA-processes as trees, and using treeautomata technique...
Denis Lugiez, Ph. Schnoebelen
COLT
2004
Springer
14 years 23 days ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
WIA
2009
Springer
14 years 2 months ago
Short Regular Expressions from Finite Automata: Empirical Results
We continue our work [H. Gruber, M. Holzer: Provably shorter regular expressions from deterministic finite automata (extended ). In Proc. DLT, LNCS 5257, 2008] on the problem of ...
Hermann Gruber, Markus Holzer, Michael Tautschnig
CVPR
2011
IEEE
13 years 3 months ago
Online Group-Structured Dictionary Learning
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
Zoltan Szabo, Barnabas Poczos, Andras Lorincz
ICCV
2011
IEEE
12 years 7 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan