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KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 2 days ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
GCA
2007
15 years 1 months ago
Adding a Campus Cluster to the SURAgrid Regional Computing Grid
This work describes the creation of a university computing cluster and its integration with the SURAgrid. The project involved acquiring and installing a cluster and adding softwa...
Brian Brooks, Kenneth Hoganson
ICIP
2009
IEEE
14 years 9 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
ICANN
2009
Springer
15 years 6 months ago
Almost Random Projection Machine
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
Wlodzislaw Duch, Tomasz Maszczyk
COLT
2006
Springer
15 years 3 months ago
Improving Random Projections Using Marginal Information
Abstract. We present an improved version of random projections that takes advantage of marginal norms. Using a maximum likelihood estimator (MLE), marginconstrained random projecti...
Ping Li, Trevor Hastie, Kenneth Ward Church