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» Maximum likelihood analysis of algorithms and data structure...
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VIS
2007
IEEE
239views Visualization» more  VIS 2007»
14 years 9 months ago
Moment Invariants for the Analysis of 2D Flow Fields
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...
STOC
2004
ACM
121views Algorithms» more  STOC 2004»
14 years 8 months ago
Lower bounds for dynamic connectivity
We prove an (lg n) cell-probe lower bound on maintaining connectivity in dynamic graphs, as well as a more general trade-off between updates and queries. Our bound holds even if t...
Mihai Patrascu, Erik D. Demaine
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 6 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
VMCAI
2009
Springer
14 years 2 months ago
Shape-Value Abstraction for Verifying Linearizability
lue Abstraction for Verifying Linearizability Viktor Vafeiadis Microsoft Research, Cambridge, UK This paper presents a novel abstraction for heap-allocated data structures that kee...
Viktor Vafeiadis
IJISTA
2007
119views more  IJISTA 2007»
13 years 8 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...