Detection-criterion independent proof for digital watermark detection : a support vector machine approach
Perceiving digital watermark detection as image classification problem stands as the basic of the detector criterion independent zero-knowledge watermark detection proof using Support Vector Machine (SVM). In-depth insights are given to using SVM to enable detection criterion independent zero-knowle...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2007
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| id |
my-unimas-ir.508 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-unimas-ir.5082023-05-08T07:50:52Z Detection-criterion independent proof for digital watermark detection : a support vector machine approach 2007 Then,, Patrick Hang Hui QA76 Computer software Perceiving digital watermark detection as image classification problem stands as the basic of the detector criterion independent zero-knowledge watermark detection proof using Support Vector Machine (SVM). In-depth insights are given to using SVM to enable detection criterion independent zero-knowledge watermark detection protocol. The existing zero-knowledge watermark detection protocols are analysed and re-designed to be detection criterion independent zero-knowledge watermark detection protocol. Faculty of Computer Science and Information Technology 2007 Thesis http://ir.unimas.my/id/eprint/508/ http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf text en validuser phd doctoral Universiti Malaysia Sarawak (UNIMAS) Faculty of Computer Science and Information Technology |
| institution |
Universiti Malaysia Sarawak |
| collection |
UNIMAS Institutional Repository |
| language |
English |
| topic |
QA76 Computer software |
| spellingShingle |
QA76 Computer software Then,, Patrick Hang Hui Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| description |
Perceiving digital watermark detection as image classification problem stands as the basic of the detector criterion independent zero-knowledge watermark detection proof using Support Vector Machine (SVM). In-depth insights are given to using SVM to enable detection criterion independent zero-knowledge watermark detection protocol. The existing zero-knowledge watermark detection protocols are analysed and re-designed to be detection criterion independent zero-knowledge watermark detection protocol. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Then,, Patrick Hang Hui |
| author_facet |
Then,, Patrick Hang Hui |
| author_sort |
Then,, Patrick Hang Hui |
| title |
Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_short |
Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_full |
Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_fullStr |
Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_full_unstemmed |
Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_sort |
detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| granting_institution |
Universiti Malaysia Sarawak (UNIMAS) |
| granting_department |
Faculty of Computer Science and Information Technology |
| publishDate |
2007 |
| url |
http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf |
| _version_ |
1783727890845663232 |