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Performance Analysis of Bit-Width Reduced Floating-Point Arithmetic Units in FPGAs: A Case Study of Neural Network-Based Face Detector

Overview of attention for article published in EURASIP Journal on Embedded Systems, July 2009
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Title
Performance Analysis of Bit-Width Reduced Floating-Point Arithmetic Units in FPGAs: A Case Study of Neural Network-Based Face Detector
Published in
EURASIP Journal on Embedded Systems, July 2009
DOI 10.1155/2009/258921
Authors

Yongsoon Lee, Younhee Choi, Seok-Bum Ko, Moon Ho Lee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 3 20%
Student > Bachelor 2 13%
Researcher 2 13%
Lecturer 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Engineering 7 47%
Computer Science 4 27%
Unknown 4 27%