Hardware Implemplentation of a Discrete AdaBoost Based Decision Rule
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03109911" target="_blank" >RIV/68407700:21230/05:03109911 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Hardware Implemplentation of a Discrete AdaBoost Based Decision Rule
Original language description
We propose a method and a tool for automatic generation of hardware implementation of a decision rule based on the Adaboost algorithm. We review the principles of the classification method and we evaluate its hardware implementation cost in terms of FPGA's slice, using different weak classifiers based on the general concept of hyperrectangle. The main novelty of our approach is that the tool allows the user to find automatically an appropriate tradeoff between classification performances and hardware implementation cost, and that the generated architecture is optimized for each training process. We present results obtained using Gaussian distributions and examples from UCI databases. Finally, we present an example of industrial application of real-timetextured image segmentation.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET101210407" target="_blank" >1ET101210407: Multi-camera system for modeling and recognition of events</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal on Applied Signal Processing
ISSN
1110-8657
e-ISSN
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Volume of the periodical
2005
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
1035-1046
UT code for WoS article
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EID of the result in the Scopus database
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