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A Concurrent SOM-Based Chan-Vese Model for Image Segmentation
2014-01-01 Abdelsamea, M M; Gnecco, G; Gaber, M M
A Statistical Learning Theory Approach for the Analysis of the Trade-off Between Sample Size and Precision in Truncated Ordinary Least Squares
2022-01-01 Gnecco, GIORGIO STEFANO; Raciti, Fabio; Selvi, Daniela
A Survey of SOM-Based Active Contour Models for Image Segmentation
2014-01-01 Abdelsamea, M M; Gnecco, G; Gaber, M M
Binary and Multi-Class Parkinsonian Disorders Classification using Support Vector Machines
2015-01-01 Morisi, Rita; Gnecco, G; Lanconelli, N; Zanigni, S; Manners, D N; Testa, C; Evangelisti, S; Gramegna, L; Bianchini, C; Cortelli, P; Tonon, C; Lodi, R
Bounds for Approximate Solutions of Fredholm Integral Equations using Kernel Networks
2011-01-01 Gnecco, G; Kurkova, V; Sanguineti, M
Computationally Efficient Approximation Schemes for Functional Optimization
2010-01-01 Alessandri, A; Gnecco, G; Sanguineti, M
Deeper insights into neural nets with random weights
2022-01-01 Li, Ming; Gnecco, GIORGIO STEFANO; Sanguineti, Marcello
Design of Acoustic Metamaterials through Nonlinear Programming
2016-01-01 Gnecco, G; Lepidi, M; Gambarotta, L; Bacigalupo, A
Learning as Constraint Reactions
2015-01-01 Gnecco, G; Gori, M; Melacci, S; Sanguineti, M
Learning with hard constraints
2013-01-01 Gnecco, G; Gori, M; Melacci, S; Sanguineti, M
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Concurrent SOM-Based Chan-Vese Model for Image Segmentation | 1-gen-2014 | Abdelsamea, M M; Gnecco, G; Gaber, M M | |
A Statistical Learning Theory Approach for the Analysis of the Trade-off Between Sample Size and Precision in Truncated Ordinary Least Squares | 1-gen-2022 | Gnecco, GIORGIO STEFANO; Raciti, Fabio; Selvi, Daniela | |
A Survey of SOM-Based Active Contour Models for Image Segmentation | 1-gen-2014 | Abdelsamea, M M; Gnecco, G; Gaber, M M | |
Binary and Multi-Class Parkinsonian Disorders Classification using Support Vector Machines | 1-gen-2015 | Morisi, Rita; Gnecco, G; Lanconelli, N; Zanigni, S; Manners, D N; Testa, C; Evangelisti, S; Gramegna, L; Bianchini, C; Cortelli, P; Tonon, C; Lodi, R | |
Bounds for Approximate Solutions of Fredholm Integral Equations using Kernel Networks | 1-gen-2011 | Gnecco, G; Kurkova, V; Sanguineti, M | |
Computationally Efficient Approximation Schemes for Functional Optimization | 1-gen-2010 | Alessandri, A; Gnecco, G; Sanguineti, M | |
Deeper insights into neural nets with random weights | 1-gen-2022 | Li, Ming; Gnecco, GIORGIO STEFANO; Sanguineti, Marcello | |
Design of Acoustic Metamaterials through Nonlinear Programming | 1-gen-2016 | Gnecco, G; Lepidi, M; Gambarotta, L; Bacigalupo, A | |
Learning as Constraint Reactions | 1-gen-2015 | Gnecco, G; Gori, M; Melacci, S; Sanguineti, M | |
Learning with hard constraints | 1-gen-2013 | Gnecco, G; Gori, M; Melacci, S; Sanguineti, M |
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Opzioni
Scopri
Tipologia
- 2 Contributo in Volume 20
- 2 Contributo in Volume::2.1 Contr... 20
Data di pubblicazione
- 2020 - 2022 5
- 2010 - 2019 14
- 2009 - 2009 1
Editore
- Springer 14
- Springer Verlag 2
- Nova Science Publishers, Inc. 1
- Springer-Verlag 1
Rivista
- LECTURE NOTES IN COMPUTER SCIENCE 2
Serie
- AIRO SPRINGER SERIES 2
- LECTURE NOTES IN COMPUTER SCIENCE 2
- SPRINGER OPTIMIZATION AND ITS APP... 1
Keyword
- Image segmentation 2
- neural networks 2
- active contours 1
- Approximate rank 1
- Braess’ paradox 1
- Chan-Vese model 1
- Concurrent Self Organizing Maps 1
- Conditional variance 1
- Effective dimension 1
- global active contours 1
Lingua
- eng 19
Accesso al fulltext
- reserved 17
- no fulltext 2
- partially open 1