DocumentCode :
431506
Title :
Probabilistic Relevance Feedback with Binary Semantic Feature Vectors
Author :
Liu, David ; Chen, Tsuhan
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
2
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
513
Lastpage :
516
Keywords :
image representation; image retrieval; probability; relevance feedback; trademarks; binary semantic feature vectors; high-level semantic features; image representation; image retrieval; probabilistic relevance feedback; trademark logo images; Euclidean distance; Feedback; Humans; Image databases; Image retrieval; Information retrieval; Mars; Shape; Support vector machines; Trademarks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415454
Filename :
1415454
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=431506
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