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ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
15 years 10 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
VISUALIZATION
1997
IEEE
15 years 8 months ago
Fast oriented line integral convolution for vector field visualization via the Internet
Oriented Line Integral Convolution (OLIC) illustrates flow fields by convolving a sparse texture with an anisotropic convolution kernel. The kernel is aligned to the underlying ...
Rainer Wegenkittl, Eduard Gröller
CAV
2006
Springer
141views Hardware» more  CAV 2006»
15 years 7 months ago
SMT Techniques for Fast Predicate Abstraction
niques for Fast Predicate Abstraction Shuvendu K. Lahiri , Robert Nieuwenhuis , and Albert Oliveras Abstract. Predicate abstraction is a technique for automatically exfinite-state ...
Shuvendu K. Lahiri, Robert Nieuwenhuis, Albert Oli...
IDA
1998
Springer
15 years 3 months ago
Fast Dimensionality Reduction and Simple PCA
A fast and simple algorithm for approximately calculating the principal components (PCs) of a data set and so reducing its dimensionality is described. This Simple Principal Compo...
Matthew Partridge, Rafael A. Calvo
126
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TNN
1998
89views more  TNN 1998»
15 years 3 months ago
Fast training of recurrent networks based on the EM algorithm
— In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm f...
Sheng Ma, Chuanyi Ji