Searching for A Hardware Efficient Support Vector Machine Architecture For Fpga information? Find all needed info by using official links provided below.
https://ieeexplore.ieee.org/document/4724927/
A Hardware Efficient Support Vector Machine Architecture for FPGA Abstract: In real-time video mining applications it is desirable to extract information about human subjects, such as gender, ethnicity, and age, from grayscale frontal face images.Cited by: 58
http://www0.cs.ucl.ac.uk/staff/ucacbbl/cigpu2010/papers/n-0477.pdf
performance, low-resource-consuming hardware for Support Vector Classification and Support Vector Regression. The system has been implemented on a low cost FPGA device and exploits the advantages of parallel processing to compute the feed forward phase in support vector machines. In this paper
http://cas.ee.ic.ac.uk/people/ccb98/papers/KyrkouVLSI13.pdf
A Hardware-Efficient Architecture for Embedded Real-Time Cascaded Support Vector Machines Classification Christos Kyrkou KIOS Research Center, University of Cyprus [email protected] Theocharis Theocharides KIOS Research Center, University of Cyprus [email protected] Christos-Savas Bouganis Imperial College London
https://www.researchgate.net/publication/322512582_Hardware_implementation_of_SVM_using_system_generator
This paper concerns a design for implementing Support Vector Machine (SVM), with non-linear Gaus-sian kernel on Field Programmable Gate Array (FPGA), for development of an accurate seizure ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004724927
support vector machines data mining field programmable gate arrays image classification learning (artificial intelligence) radial basis function networks software implementation hardware efficient support vector machine architecture FPGA real-time video mining information extraction grayscale frontal face images machine learning statistical ...
http://cas.ee.ic.ac.uk/people/ccb98/papers/KyrkouICSAMOS13.pdf
An Embedded Hardware-Efficient Architecture for Real-Time Cascade Support Vector Machine Classification Christos Kyrkou, Theocharis Theocharides KIOS Research Center, Department of Electrical and Computer Engineering University of Cyprus Nicosia, Cyprus {kyrkou.christos, ttheocharides}@ucy.ac.cy Christos-Savvas Bouganis
How to find A Hardware Efficient Support Vector Machine Architecture For Fpga information?
Follow the instuctions below:
- Choose an official link provided above.
- Click on it.
- Find company email address & contact them via email
- Find company phone & make a call.
- Find company address & visit their office.
