[Other] The Gravity Anomaly of a 2D Polygonal Body

Description: In this document, a method for solving the gravity anomaly of a arbitrary polygon is introduced in detail.
Platform: | Size: 669696 | Author: matlab彻 | Hits:

[Other] RS485基本通讯原理

Description: 485 and 232 use the same software protocol, which is half duplex, which provides testing procedures
Platform: | Size: 13312 | Author: starfish55555 | Hits:

[Other] 最新二次解析

Description: Video two parsing source code without ad parsing source code
Platform: | Size: 174080 | Author: JiaShi | Hits:

[Other] orgayikl

Description:
Platform: | Size: 8192 | Author: Racmond | Hits:

[Other] [拉普兰德]K60_Bootloader_V1.031

Description: Can burn the program, can be used as the number of numbers of the host computerdkafjfhsfnf
Platform: | Size: 1136640 | Author: ghc123 | Hits:

[File Operate] hjwamkb

Description:
Platform: | Size: 384000 | Author: Hslfy | Hits:

[JSP/Java] 个人网银系统

Description: Personal online bank, analog mobile bank, including registration, login, transfer, withdrawals and so on
Platform: | Size: 1191936 | Author: disappear。 | Hits:

[GPS develop] 59623066-CFAR-Thesis-James-Jen-PDF

Description: How to get good feature descriptors to represent the VHR images for scene classification is still a critical task for VHR image scene understanding.
Platform: | Size: 959488 | Author: lmcice | Hits:

[matlab] MatlabAUC-master (1)

Description: As mentioned before, the feature fusion is an efficient step in scene understanding. We proposed to combine between the outputs of CNN algorithm, where the final features can effectively represent the scene images
Platform: | Size: 21504 | Author: lmcice | Hits:

[Proxy Server] prec_rec (1)

Description: We employ the pretrained deep CNN models for VHR images scene classification, where we used VGG-Net as the feature extractor by selecting useful layers in order to get a good representation of the images scene.
Platform: | Size: 3072 | Author: lmcice | Hits:

[matlab] 发给各中心通知

Description: CNN is one of the most successful deep learning methods due to its remarkable performance on ImageNet large-scale visual recognition competition. The success of CNN is due to its capacity to learn hierarchical representa
Platform: | Size: 168960 | Author: lmcice | Hits:

[Windows Develop] sp_pagwf

Description: a hybrid deep convolutional neural network (CNN) for vehicle detection from satellite images. And the research in [13] introduced the stacked autoencoder to extract spatial informative features for hyperspectral images c
Platform: | Size: 921600 | Author: lmcice | Hits: