Graph-based semisupervised and manifold learning for image retrieval with SVM-based relevant feedback

2019 ◽  
Vol 37 (1) ◽  
pp. 711-722 ◽  
Author(s):  
Quynh Nguyen Huu ◽  
Dung Cu Viet ◽  
Quynh Dao Thi Thuy ◽  
Tao Ngo Quoc ◽  
Canh Phuong Van
Keyword(s):  
Image Retrieval ◽  
Manifold Learning ◽  
Relevant Feedback

scholarly journals Relevance Feedback berdasarkan Support Vector Machine pada Content Based Image Retrieval

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Virginia Tulenan
Keyword(s):  
Support Vector Machine ◽  
Feature Extraction ◽  
Image Retrieval ◽  
Relevance Feedback ◽  
Content Based Image Retrieval ◽  
Support Vector ◽  
Relevant Feedback

Content based image retrieval adalah bidang penelitianyang sangat penting saat ini dalam bidang multimedia database.Banyak penelitian yang telah dilakukan dalam dekade terakhiruntuk merancang teknik image retrieval yang efisien dari imagedatabase. Meskipun banyak teknik pengindeksan dan retrievaltelah dikembangkan, namun masih belum terdapat teknikpemisahan ciri (feature extraction), indexing dan retrieval yangbisa diterima secara universal oleh semua orang. Dalam tulisanini, digunakanlah metode relevant feedback berdasarkan supportvector machine (SVM) dan muhalobis distance untuk pengukurankemiripan pada image retrieval.

A correlation graph approach for unsupervised manifold learning in image retrieval tasks

2016 ◽  
Vol 208 ◽  
pp. 66-79 ◽  
Author(s):  
Daniel Carlos Guimarães Pedronette ◽  
Ricardo da S. Torres
Keyword(s):  
Image Retrieval ◽  
Manifold Learning ◽  
Correlation Graph

scholarly journals Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks

2018 ◽  
Vol 75 ◽  
pp. 161-174 ◽  
Author(s):  
Daniel Carlos Guimarães Pedronette ◽  
Filipe Marcel Fernandes Gonçalves ◽  
Ivan Rizzo Guilherme
Keyword(s):  
Image Retrieval ◽  
Manifold Learning ◽  
Connected Components
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