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CORR
2010
Springer
320views Education» more  CORR 2010»
15 years 6 months ago
An algorithm for the principal component analysis of large data sets
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnis...
CVPR
2006
IEEE
16 years 8 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin
DCC
2005
IEEE
16 years 6 months ago
Efficient Alphabet Partitioning Algorithms for Low-Complexity Entropy Coding
We analyze the technique for reducing the complexity of entropy coding consisting in the a priori grouping of the source alphabet symbols, and in dividing the coding process in tw...
Amir Said
DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 7 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
JMLR
2011
145views more  JMLR 2011»
15 years 1 months ago
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
Jim C. Huang, Brendan J. Frey