Retrieval with Knowledge-driven Kernel Design: An Approach to Improving SVM-Based CBIR with Relevance Feedback

Authors:
Lei Wang;Yan Gao;Kap Luk Chan;Ping Xue;Wei-Yun Yau
Affiliations:
Nanyang Technological University;Nanyang Technological University;Nanyang Technological University;Nanyang Technological University;Institute for Infocomm Research - Singapore
Venue:
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Year:
2005

Citing 0
Cited 4

Negative Samples Analysis in Relevance Feedback

IEEE Transactions on Knowledge and Data Engineering
Incorporating prior knowledge in support vector machines for classification: A review

Neurocomputing
Speed up interactive image retrieval

The VLDB Journal — The International Journal on Very Large Data Bases
Dynamic similarity kernel for visual recognition

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object registration which is an important part in the shapebased segmentation framework. ...