Image classification and reconstruction method based on extreme implicit feature learning model

Abstract

The invention discloses an image classification and reconstruction method based on an extreme implicit feature learning model, and the method employs a data reconstruction strategy to carry out the feature learning, and efficiently learns the original perception data and a corresponding high-level semantic conversion relation. In particular, ELM and ELM-AE (an auto-encoder based on ELM) are unified in one learning model, the model has image classification capability and image reconstruction capability, the potential relationship between original image data and advanced semantics can be betterdisclosed, information loss is reduced, image classification precision is improved, and the model has excellent image data reconstruction capability. ELF (Extreme Limited Hidden Feature Learning) inherits advantages of the ELM and ELM-AE, good image classification and image reconstruction effects can be obtained under the condition that the original data information is protected. In addition, an efficient algorithm based on a staggered direction method is used for solving and optimizing the ELF model, and the precision of the ELF model is further improved.

Description

technical field [0001] The invention relates to the technical field of image classification and intelligent optimization, and more specifically, relates to an image classification and reconstruction method based on an over-limit hidden feature learning model. Background technique [0002] In the field of machine learning and computer vision, extracting discriminative and compact representations of images can effectively reveal potential important information hidden in data, and can seamlessly connect high-level semantic data with original data. The performance of machine learning models largely depends on Because of the features used, it has received great attention from researchers. Recent studies have demonstrated that multi-layer neural networks can learn multi-layer abstract features from data, which can significantly improve the performance of machine vision models. As an efficient learning algorithm for a single hidden layer feed-forward neural network, ELM (Extreme L...

AI Technical Summary

Problems solved by technology

This strategy may be too rigid to effectively explore the underlying relationship between raw observation data and high-level semantics

Images