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Dimensionality reduction

Known as: Dimension reduction, Reduction 
In machine learning and statistics, dimensionality reduction or dimension reduction is the process of reducing the number of random variables under… 
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Related topics

Related topics

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Apache SparkAutoencoderBackpropagationBias–variance tradeoff

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Unsupervised Visual Data Mining Using Self-organizing Maps and a Data-driven Color Mapping
This paper presents a new approach for visually mining multivariate datasets and especially large ones. This unsupervised… 
2012
2012
Discriminative metric: Schatten norm vs. vector norm
The notion of metric is fundamental for the study of pattern recognition and vector 2-norm ||·||2 is one of the most widely used… 
2011
2011
Statistical semantics for enhancing document clustering
Document clustering algorithms usually use vector space model (VSM) as their underlying model for document representation. VSM… 
2011
2011
Enhanced Sparse Imputation Techniques for a Robust Speech Recognition Front-End
Missing data techniques (MDTs) have been widely employed and shown to improve speech recognition results under noisy conditions… 
2006
2006
Dimensionality Reduction using GA-PSO
The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces… 
Review
2005
Review
2005
Dimensionality Reduction in Statistical Pattern Recognition and Low Loss Dimensionality Reduction
First,authors review the prevailing feature selection methods such as Exhaustive Search,Genetic Algorithm,Sequential Forward… 
2003
2003
Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval
Content-based image retrieval (CBIR) is an emerging re- search field, studying retrieval of images from unannotated databases. In… 
2002
2002
How to Use the Fractal Dimension to Find Correlations between Attributes
One of the challenges when dealing with multimedia information, which usually is massive and composed of multidimensional data… 
2001
2001
Data Mining for Typhoon Image Collection
This paper introduces the application of data mining methods to the analysis and prediction of the typhoon. The testbed for this… 
2000
2000
High-Performance Memory-based Face Recognition for Visitor Identification
We show that a simple, memory-based technique for view-based face recognition, motivated by the real-world task of visitor… 
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