JOURNAL ARTICLE

Combining Clustering and Relevance Feedback Techniques in Content-based Image Retrieval.

Oge MarquesBorko Furht

Year: 2002 Journal:   IMSA Vol: 86 (3-4)Pages: 306-311

Abstract

A rabbit antiserum against the major internal protein, p27, of a psoriasis associated retrovirus-like particle has been used in indirect fluorescence microscopy of biopsies from psoriatic skin. The analysis indicate expression of p27 antigen in epithelial cells in psoriatic lesions and in clinically uninvolved psoriatic skin. A reaction of the antiserum with dermal vessel walls in the lesion was also observed.

Keywords:
Relevance feedback Computer science Relevance (law) Cluster analysis Image retrieval Content-based image retrieval Feature (linguistics) Information retrieval Data mining Artificial intelligence Image (mathematics) Pattern recognition (psychology) Content (measure theory) Machine learning Mathematics

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Clustering Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence

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