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KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 4 months 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 5 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
15 years 2 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 11 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 8 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