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Master Thesis Proposal - Effects of dimension reduction in hyperspectral data classification (Example)

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This Information Systems Contingency Plan (ISCP) has been adopted to enable recover the IT system through a three-phased approach. This approach has procedures that ensures the efforts put towards system recovery are performed in a systematic sequence to make the most of the effectiveness of the recovery effort and reduce system outage time that arise from errors and omissions. The three ISCP phases are: Activation and Notification Phase – The ISCP is activated after an outage or operational state. The validation process has a number of procedures which may include data validation regression testing functionality or concurrent processing. Upon a successful completion the validation process the owners can now declare the system operational. The process of deactivation may include activities of notifying the users of the system’s operational status. This phase also addresses activity log finalization recovery effort documentation incorporation of lessons learned into plan updates and readying resources for any future recovery events. [...]

Order Description:

RESOURCES AVAILABLE. --- Problem domains: 1. Hughes phenomenon 2. Curse of dimensionality. ---- Techniqeus for dimension reduction: 1. Pca 2. Isomap 3. Projection pursuit ---- Dimension reduction importance for classification using svm(support vector machine)

Subject Area: Engineering

Document Type: Case Study

This project has already been completed by one of the Studybay experts. The client rated this project:

Project's rating is 5/5

Price $25

Words 550

Pages 2

Completed in 5 days

Expert bmosomi

Client Review

Talented writer and great researcher. Finished the assignment on time and used the resources I provided. Thank you! I will definitely come back to you for future work.

Positive
12.20.2017

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