Search results for "curvilinear component analysis"

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The on-line curvilinear component analysis (onCCA) for real-time data reduction

2015

Real time pattern recognition applications often deal with high dimensional data, which require a data reduction step which is only performed offline. However, this loses the possibility of adaption to a changing environment. This is also true for other applications different from pattern recognition, like data visualization for input inspection. Only linear projections, like the principal component analysis, can work in real time by using iterative algorithms while all known nonlinear techniques cannot be implemented in such a way and actually always work on the whole database at each epoch. Among these nonlinear tools, the Curvilinear Component Analysis (CCA), which is a non-convex techni…

Clustering high-dimensional dataBregman divergenceComputer scienceneural networkprojectionBregman divergenceNovelty detectionSynthetic dataData visualizationArtificial Intelligencebranch and boundComputer visionunfoldingcurvilinear component analysisCurvilinear coordinatesArtificial neural networkbusiness.industryVector quantizationPattern recognitiononline algorithmbearing faultvector quantizationPattern recognition (psychology)Principal component analysisbearing fault; branch and bound; Bregman divergence; curvilinear component analysis; data reduction; neural network; novelty detection; online algorithm; projection; unfolding; vector quantization; Software; Artificial Intelligencedata reductionArtificial intelligencebusinessnovelty detectionSoftware
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