The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in… mais…
The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method. Trade Books>Trade Paperback>Science>Engineering>ELEC Engr, LAP Lambert Academic Publishing Core >1<
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The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in… mais…
The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method. Trade Books>Trade Paperback>Science>Engineering>ELEC Engr, KS OmniScriptum Publishing Core >1<
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Paperback, [PU: LAP Lambert Academic Publishing], The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern r… mais…
Paperback, [PU: LAP Lambert Academic Publishing], The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method., Electronics Engineering<
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[EAN: 9783659193590], Neubuch, [PU: LAP LAMBERT Academic Publishing], TALBAR SANJAY FACE RECOGNITION USING INDEPENDENT COMPONENT ANALYSIS UNDER VARIATION OF POSE ILLUMINATION AND FACIAL E… mais…
[EAN: 9783659193590], Neubuch, [PU: LAP LAMBERT Academic Publishing], TALBAR SANJAY FACE RECOGNITION USING INDEPENDENT COMPONENT ANALYSIS UNDER VARIATION OF POSE ILLUMINATION AND FACIAL EXPRESSIONS, This is a Brand New book, in perfect condition. Quick dispatch., Books<
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The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in… mais…
The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method. Trade Books>Trade Paperback>Science>Engineering>ELEC Engr, LAP Lambert Academic Publishing Core >1<
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The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in… mais…
The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method. Trade Books>Trade Paperback>Science>Engineering>ELEC Engr, KS OmniScriptum Publishing Core >1<
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Paperback, [PU: LAP Lambert Academic Publishing], The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern r… mais…
Paperback, [PU: LAP Lambert Academic Publishing], The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method., Electronics Engineering<
[EAN: 9783659193590], Neubuch, [PU: LAP LAMBERT Academic Publishing], TALBAR SANJAY FACE RECOGNITION USING INDEPENDENT COMPONENT ANALYSIS UNDER VARIATION OF POSE ILLUMINATION AND FACIAL E… mais…
[EAN: 9783659193590], Neubuch, [PU: LAP LAMBERT Academic Publishing], TALBAR SANJAY FACE RECOGNITION USING INDEPENDENT COMPONENT ANALYSIS UNDER VARIATION OF POSE ILLUMINATION AND FACIAL EXPRESSIONS, This is a Brand New book, in perfect condition. Quick dispatch., Books<
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[EAN: 9783659193590], Neubuch, [PU: LAP LAMBERT Academic Publishing], New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000, Books<
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The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method.
Dados detalhados do livro - Face Recognition using Independent Component Analysis Kailash Karande Author
EAN (ISBN-13): 9783659193590 ISBN (ISBN-10): 3659193593 Livro de capa dura Livro de bolso Ano de publicação: 2012 Editor/Editora: LAP Lambert Academic Publishing Core >1
Livro na base de dados desde 2007-07-01T03:33:12-03:00 (Sao Paulo) Página de detalhes modificada pela última vez em 2024-01-12T07:32:49-03:00 (Sao Paulo) Número ISBN/EAN: 3659193593
Número ISBN - Ortografia alternativa: 3-659-19359-3, 978-3-659-19359-0 Ortografia alternativa e termos de pesquisa relacionados: Autor do livro: kailash Título do livro: face value, facial recognition, independent independent, facial analysis
