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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2007
IEEE
15 years 6 months ago
Weighted Co-SVM for Image Retrieval with MVB Strategy
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
Xiaoyu Zhang, Jian Cheng, Hanqing Lu, Songde Ma
ICIP
2010
IEEE
14 years 9 months ago
Multi-description of local interest point for partial-duplicate image retrieval
In partial-duplicate image retrieval, images are commonly represented using Bag-of-visual-Words (BoW) built from image local features, such as SIFT. Therefore, the discriminative ...
Liang Li, Shuqiang Jiang, Qingming Huang
CLEF
2007
Springer
15 years 6 months ago
Baseline Results for the ImageCLEF 2007 Medical Automatic Annotation Task Using Global Image Features
Abstract. This paper provides baseline results for the medical automatic annotation task of CLEF 2007 by applying the image retrieval in medical applications (IRMA)-based algorithm...
Mark Oliver Güld, Thomas Martin Deserno
CIKM
2005
Springer
15 years 5 months ago
Structural features in content oriented XML retrieval
The structural features of XML components are an extra source of information that should be used in a contentoriented retrieval task on this type of documents. This paper explores...
Georgina Ramírez, Thijs Westerveld, Arjen P...
IV
2000
IEEE
123views Visualization» more  IV 2000»
15 years 4 months ago
Content-Based Image Visualization
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...
Chaomei Chen, George Gagaudakis, Paul L. Rosin