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Random projection

Known as: Gaussian random projection 
In mathematics and statistics, random projection is a technique used to reduce the dimensionality of a set of points which lie in Euclidean space… 
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Related topics

Related topics

5 relations
Dimensionality reductionDiscrete cosine transformLinear discriminant analysisPrincipal component analysis

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Semi-supervised convolutional extreme learning machine
We propose a scheme for training a neural network as an image classifier. The approach includes a very rapid unsupervised feature… 
2016
2016
Approximate fuzzy kernel clustering with random feature mapping and dimension reduction
Although fuzzy c-means algorithm has shown great capability to spherical clusters, it can not perform very well on non-spherical… 
2015
2015
Group-based hyperspectral image denoising using low rank representation
For the hyperspectral image (HSI) denoising problem, we propose a group-based low rank representation (GLRR) method. A corrupted… 
2014
2014
Amplify-and-Forward Compressed Sensing as an Energy-Efficient Solution in Wireless Sensor Networks
In this paper, we propose a novel distributed compressed sensing transmission scheme, which is referred to as amplify-and-forward… 
2013
2013
Differentially-private learning of low dimensional manifolds
Review
2010
Review
2010
Interactive Visualization Techniques for Searching Temporal Categorical Data
Temporal data has always captured people's imagination. Large databases of temporal data contain temporal patterns that can lead… 
2007
2007
Sigma delta quantization for compressive sensing
Compressive sensing is a new data acquisition technique that aims to measure sparse and compressible signals at close to their… 
2005
2005
Image retrieval based on incremental subspace learning
2002
2002
Self-organising maps for tree view based hierarchical document clustering
In this paper, we investigate the use of self-organising maps (SOMs) for document clustering. Previous methods using SOMs to… 
1973
1973
Differentiability of the metric projection in finite-dimensional Euclidean space
The metric projection on a closed subset of a finite-dimensional Euclidean space is almost everywhere differentiable. The main… 
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