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» Using self-dissimilarity to quantify complexity
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76
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AMC
2008
78views more  AMC 2008»
14 years 11 months ago
Information processing in complex networks: Graph entropy and information functionals
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Matthias Dehmer
CORR
2006
Springer
122views Education» more  CORR 2006»
14 years 11 months ago
On the complexity of XPath containment in the presence of disjunction, DTDs, and variables
XPath is a simple language for navigating an XML-tree and returning a set of answer nodes. The focus in this paper is on the complexity of the containment problem for various frag...
Frank Neven, Thomas Schwentick
93
Voted
ACL
2010
14 years 9 months ago
Complexity Metrics in an Incremental Right-Corner Parser
Hierarchical HMM (HHMM) parsers make promising cognitive models: while they use a bounded model of working memory and pursue incremental hypotheses in parallel, they still achieve...
Stephen Wu, Asaf Bachrach, Carlos Cardenas, Willia...
ICIP
2002
IEEE
16 years 1 months ago
Complexity regularized shape estimation from noisy Fourier data
We consider the estimation of an unknown arbitrary 2D object shape from sparse noisy samples of its Fourier transform. The estimate of the closed boundarycurve is parametrized by ...
Natalia A. Schmid, Yoram Bresler, Pierre Moulin
ECCC
2010
79views more  ECCC 2010»
14 years 11 months ago
IP = PSPACE using Error Correcting Codes
The IP theorem, which asserts that IP = PSPACE (Lund et. al., and Shamir, in J. ACM 39(4)), is one of the major achievements of complexity theory. The known proofs of the theorem ...
Or Meir