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» Dynamic Spatial Approximation Trees for Massive Data
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139
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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 4 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
ICPR
2008
IEEE
16 years 3 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
146
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CPHYSICS
2006
124views more  CPHYSICS 2006»
15 years 2 months ago
Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks
State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Ra...
MIAR
2006
IEEE
15 years 8 months ago
Cerebral Vascular Tree Matching of 3D-RA Data Based on Tree Edit Distance
Abstract. In this paper, we present a novel approach to matching cerebral vascular trees obtained from 3D-RA data-sets based on minimization of tree edit distance. Our approach is ...
Tommy W. H. Tang, Albert C. S. Chung
149
Voted
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 8 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein