Laplacian Regularized Subspace Learning for interactive image re-ranking
Content-based image retrieval (CBIR) has attracted substantial attention during the past few years for its potential applications. To bridge the gap between low level visual features and high level semantic concepts, various relevance feedback (RF) or interactive re-ranking (IR) schemes have been de...
Saved in:
Main Authors: | Zhang, Lining., Wang, Lipo., Lin, Weisi. |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/84746 http://hdl.handle.net/10220/12389 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Conjunctive patches subspace learning with side information for collaborative image retrieval
by: Zhang, Lining., et al.
Published: (2013) -
Laplacian embedded regression for scalable manifold regularization
by: Chen, Lin, et al.
Published: (2013) -
Robust image representation and decomposition by Laplacian regularized latent low-rank representation
by: Zhang, Z., et al.
Published: (2014) -
Semisupervised biased maximum margin analysis for interactive image retrieval
by: Zhang, Lining., et al.
Published: (2012) -
Image classification by multimodal subspace learning
by: Yu, Jun, et al.
Published: (2013)