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Showing 1 - 6 of
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Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings (Paperback, 1st ed. 2016)
Gustavo Carneiro, Diana Mateus, Loic Peter, Andrew Bradley, Joao Manuel R.S. Tavares, …
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R2,418
Discovery Miles 24 180
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of two workshops
held at the 19th International Conference on Medical Image
Computing and Computer-Assisted Intervention, MICCAI 2016, in
Athens, Greece, in October 2016: the First Workshop on Large-Scale
Annotation of Biomedical Data and Expert Label Synthesis, LABELS
2016, and the Second International Workshop on Deep Learning in
Medical Image Analysis, DLMIA 2016. The 28 revised regular papers
presented in this book were carefully reviewed and selected from a
total of 52 submissions. The 7 papers selected for LABELS deal with
topics from the following fields: crowd-sourcing methods; active
learning; transfer learning; semi-supervised learning; and modeling
of label uncertainty.The 21 papers selected for DLMIA span a wide
range of topics such as image description; medical imaging-based
diagnosis; medical signal-based diagnosis; medical image
reconstruction and model selection using deep learning techniques;
meta-heuristic techniques for fine-tuning parameter in deep
learning-based architectures; and applications based on deep
learning techniques.
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Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014, Proceedings (Paperback, 2014 ed.)
Pasi Franti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo
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R3,049
Discovery Miles 30 490
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This book constitutes the proceedings of the Joint IAPR
International Workshop on Structural, Syntactic, and Statistical
Pattern Recognition, S+SSPR 2014; comprising the International
Workshop on Structural and Syntactic Pattern Recognition, SSPR, and
the International Workshop on Statistical Techniques in Pattern
Recognition, SPR. The total of 25 full papers and 22 poster papers
included in this book were carefully reviewed and selected from 78
submissions. They are organized in topical sections named: graph
kernels; clustering; graph edit distance; graph models and
embedding; discriminant analysis; combining and selecting; joint
session; metrics and dissimilarities; applications; partial
supervision; and poster session.
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Pattern Recognition in Bioinformatics - 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011, Proceedings (Paperback, 2011 ed.)
Marco Loog, Lodewyk Wessels, Marcel J.T. Reinders, Dick De Ridder
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R1,576
Discovery Miles 15 760
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 6th
International Conference on Pattern Recognition in Bioinformatics,
PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29
revised full papers presented were carefully reviewed and selected
from 35 submissions. The papers cover the wide range of possible
applications of bioinformatics in pattern recognition: novel
algorithms to handle traditional pattern recognition problems such
as (bi)clustering, classification and feature selection;
applications of (novel) pattern recognition techniques to infer and
analyze biological networks and studies on specific problems such
as biological image analysis and the relation between sequence and
structure. They are organized in the following topical sections:
clustering, biomarker selection and classification, network
inference and analysis, image analysis, and sequence, structure,
and interactions.
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Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings (Paperback, 2008 ed.)
Niels da Vitoria Lobo, Takis Kasparis, Michael Georgiopoulos, Fabio Roli, James Kwok, …
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R3,187
Discovery Miles 31 870
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This volume in the Springer Lecture Notes in Computer Science
(LNCS) series contains 98 papers presented at the S+SSPR 2008
workshops. S+SSPR 2008 was the sixth time that the SPR and SSPR
workshops organized by Technical Committees, TC1 and TC2, of the
International Association for Pattern Rec- nition (IAPR) wereheld
as joint workshops. S+SSPR 2008was held in Orlando, Florida, the
family entertainment capital of the world, on the beautiful campus
of the University of Central Florida, one of the up and coming
metropolitan universities in the USA. S+SSPR 2008 was held during
December 4-6, 2008 only a few days before the 19th International
Conference on Pattern Recog- tion(ICPR2008), whichwasheldin Tampa,
onlytwo hoursawayfromOrlando, thus giving the opportunity of both
conferences to attendees to enjoy the many attractions o?ered by
two neighboring cities in the state of Florida. SPR 2008 and SSPR
2008 received a total of 175 paper submissions from many di?erent
countries around the world, thus giving the workshop an int-
national clout, as was the case for past workshops. This volume
contains 98 accepted papers: 56 for oral presentations and 42 for
poster presentations. In addition to parallel oral sessions for SPR
and SSPR, there was also one joint oral session with papers of
interest to both the SPR and SSPR communities. A recent trend that
has emerged in the pattern recognition and machine lea- ing
research communities is the study of graph-based methods that
integrate statistical andstructural approache
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Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Merida, Mexico, November 29 - December 2, 2016, Proceedings (Paperback, 1st ed. 2016)
Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson
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R3,372
Discovery Miles 33 720
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the Joint IAPR
International Workshop on Structural Syntactic, and Statistical
Pattern Recognition, S+SSPR 2016, consisting of the International
Workshop on Structural and Syntactic Pattern Recognition SSPR, and
the International Workshop on Statistical Techniques in Pattern
Recognition, SPR. The 51 full papers presented were carefully
reviewed and selected from 68 submissions. They are organized in
the following topical sections: dimensionality reduction, manifold
learning and embedding methods; dissimilarity representations;
graph-theoretic methods; model selection, classification and
clustering; semi and fully supervised learning methods; shape
analysis; spatio-temporal pattern recognition; structural matching;
text and document analysis.
This book constitutes the proceedings of the Third International
Workshop on Similarity Based Pattern Analysis and Recognition,
SIMBAD 2015, which was held in Copenahgen, Denmark, in October
2015. The 15 full and 8 short papers presented were carefully
reviewed and selected from 30 submissions.The workshop focus on
problems, techniques, applications, and perspectives: from
supervisedto unsupervised learning, from generative to
discriminative models, and fromtheoretical issues to empirical
validations.
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