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» Computationally Efficient Estimators for Dimension Reduction...
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KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 5 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
CIKM
2008
Springer
13 years 7 months ago
On low dimensional random projections and similarity search
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
Yu-En Lu, Pietro Liò, Steven Hand
BMCBI
2008
153views more  BMCBI 2008»
13 years 5 months ago
Estimating the size of the solution space of metabolic networks
Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
CVPR
2008
IEEE
14 years 7 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
CLEF
2010
Springer
13 years 5 months ago
Random Sampling Image to Class Distance for Photo Annotation
Image classification or annotation is proved difficult for the computer algorithms. The Naive-Bayes Nearest Neighbor method is proposed to tackle the problem, and achieved the stat...
Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong...