Laplacian Regularized Subspace Learning for interactive image re-ranking

• المؤلفون الرئيسيون: Zhang, Lining., Wang, Lipo., Lin, Weisi.
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/84746; http://hdl.handle.net/10220/12389
• المؤسسة: Nanyang Technological University

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...