sZc6KHM57Oj1LJuvdzWsUye1PGtCmMc1olkNt4tbY6QLDH8aPFgjwx5oN1wZ
Current position: Home >> Scientific Research >> Paper Publications

A Novel Gaussian-Bernoulli Based Convolutional Deep Belief Networks for Image Feature Extraction

Hits:

Institution:软件学院

Title of Paper:A Novel Gaussian-Bernoulli Based Convolutional Deep Belief Networks for Image Feature Extraction

Journal:Neural Processing Letters

First Author:李子强

All the Authors:朱波,蔡珣

Document Code:AA135D473BE944B49086CE0C0520A52F

Volume:49

Issue:1

Page Number:305

Number of Words:5000

Translation or Not:No

Date of Publication:2019-02

Release Time:2020-03-24

Prev One:超声蚀刻对PAN纤维组织结构与性能的影响

Next One:Micro-configuration controlled interfacial adhesion by grafting graphene oxide onto carbon fibers