The new parallel multiclass logistic regression algorithm (PAR-MC-LR) aims at classifying a very large number of images with very-high-dimensional ...
PDF | The new parallel multiclass logistic regression algorithm (PAR-MCLR) aims at classifying a very large number of images with very-high-dimensional.
Abstract. The new parallel multiclass logistic regression algorithm (PAR-MC-. LR) aims at classifying a very large number of images with very-high- ...
The new parallel multiclass logistic regression algorithm (PAR-MC-LR) aims at classifying a very large number of images with very-high-dimensional.
Parallel Multiclass Logistic Regression for Classifying Large Scale Image Datasets · Dates et versions · Identifiants · Citer · Exporter · Partager.
In this study, this algorithm realizing this specific regression model will be re-evaluated and hopefully re-designed with a new structure that can accommodate ...
We study the problem of scaling Multinomial Logistic Regression (MLR) to datasets with very large number of data points in the presence of large number of ...
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The new parallel multiclass logistic regression algorithm (PAR-MCLR) aims at classifying a very large number of images with very-high-dimensional signatures ...
The big data experiments show that our distributed parallel SMLR algorithms can scale for massive samples and large-scale features, with high precision. In a ...
Aug 21, 2024 · Multi-class classification expands image analysis beyond binary decisions, enabling computers to categorize images into multiple classes.