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There are 24265 results for: content related to: Front Matter

  1. Mean Kernels for Semi-Supervised Remote Sensing Image Classification

    Kernel Methods for Remote Sensing Data Analysis

    Luis Gómez-Chova, Javier Calpe-Maravilla, Lorenzo Bruzzone, Gustavo Camps-Valls, Pages: 223–246, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch10

  2. Multi-Temporal Image Classification with Kernels

    Kernel Methods for Remote Sensing Data Analysis

    Jordi Muñnoz-Marí, Luis Gómez-Chova, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Javier Calpe-Maravilla, Gustavo Camps-Valls, Pages: 125–145, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch6

  3. A Domain Adaptation SVM and a Circular Validation Strategy for Land-Cover Maps Updating

    Kernel Methods for Remote Sensing Data Analysis

    Mattia Marconcini, Lorenzo Bruzzone, Pages: 193–221, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch9

  4. Machine Learning Techniques in Remote Sensing Data Analysis

    Kernel Methods for Remote Sensing Data Analysis

    Björn Waske, Mathieu Fauvel, Jon Atli Benediktsson, Jocelyn Chanussot, Pages: 1–24, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch1

  5. Kernels for Remote Sensing Image Classification

    Standard Article

    Wiley Encyclopedia of Electrical and Electronics Engineering

    Emma Izquierdo-Verdiguier, Luis Gómez-Chova and Gustau Camps-Valls

    Published Online : 15 JUN 2015, DOI: 10.1002/047134608X.W8252

  6. Hyperspectral Remote Sensing Classifications: A Perspective Survey

    Transactions in GIS

    D Chutia, D K Bhattacharyya, KK Sarma, R Kalita and S Sudhakar

    Article first published online : 7 AUG 2015, DOI: 10.1111/tgis.12164

  7. On Training and Evaluation of SVM for Remote Sensing Applications

    Kernel Methods for Remote Sensing Data Analysis

    Gustavo Camps-Valls, Lorenzo Bruzzone, Pages: 85–109, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch4

  8. LINEAR HOME RANGES: EFFECTS OF SMOOTHING, SAMPLE SIZE, AND AUTOCORRELATION ON KERNEL ESTIMATES

    Ecological Monographs

    Volume 71, Issue 3, August 2001, Pages: 469–489, Gail M. Blundell, Julie A. K. Maier and Edward M. Debevec

    Article first published online : 1 AUG 2001, DOI: 10.1890/0012-9615(2001)071[0469:LHREOS]2.0.CO;2

  9. The Support Vector Machine (SVM) Algorithm for Supervised Classification of Hyperspectral Remote Sensing Data

    Kernel Methods for Remote Sensing Data Analysis

    Gustavo Camps-Valls, Lorenzo Bruzzone, Pages: 49–83, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch3

  10. Kernel Multivariate Analysis in Remote Sensing Feature Extraction

    Kernel Methods for Remote Sensing Data Analysis

    Jerónimo Arenas-García, Kaare Brandt Petersen, Pages: 327–352, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch14

  11. Trace optimization and eigenproblems in dimension reduction methods

    Numerical Linear Algebra with Applications

    Volume 18, Issue 3, May 2011, Pages: 565–602, E. Kokiopoulou, J. Chen and Y. Saad

    Article first published online : 26 SEP 2010, DOI: 10.1002/nla.743

  12. Kernel Methods in Protein Structure Prediction

    Machine Learning in Bioinformatics

    Jayavardhana Gubbi, Alistair Shilton, Marimuthu Palaniswami, Pages: 209–228, 2008

    Published Online : 21 APR 2008, DOI: 10.1002/9780470397428.ch9

  13. Kernel Methods for Textual Information Access

    Textual Information Access: Statistical Models

    Eric Gaussier, François Yvon, Pages: 85–127, 2013

    Published Online : 14 FEB 2013, DOI: 10.1002/9781118562796.ch4

  14. Kernel Methods for Graphs

    Mining Graph Data

    Thomas Gärtner, Tamás Horváth, Quoc V. Le, Alex J. Smola, Stefan Wrobel, Pages: 253–282, 2006

    Published Online : 10 APR 2006, DOI: 10.1002/9780470073049.ch11

  15. Semi-supervised probabilistic sentiment analysis: Merging labeled sentences with unlabeled reviews to identify sentiment

    Proceedings of the American Society for Information Science and Technology

    Volume 50, Issue 1, 2013, Pages: 1–10, Andrew Yates, Nazli Goharian and Wai Gen Yee

    Article first published online : 8 MAY 2014, DOI: 10.1002/meet.14505001031

  16. Land and Sea Surface Temperature Estimation by Support Vector Regression

    Kernel Methods for Remote Sensing Data Analysis

    Gabriele Moser, Sebastiano B. Serpico, Pages: 301–325, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch13

  17. Surrogate modeling of multiscale models using kernel methods

    International Journal for Numerical Methods in Engineering

    Volume 101, Issue 1, 6 January 2015, Pages: 1–28, D. Wirtz, N. Karajan and B. Haasdonk

    Article first published online : 11 NOV 2014, DOI: 10.1002/nme.4767

  18. Active learning with support vector machines

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

    Volume 4, Issue 4, July/August 2014, Pages: 313–326, Jan Kremer, Kim Steenstrup Pedersen and Christian Igel

    Article first published online : 24 AUG 2014, DOI: 10.1002/widm.1132

  19. Support vector machines in engineering: an overview

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

    Volume 4, Issue 3, May/June 2014, Pages: 234–267, S. Salcedo-Sanz, J. L. Rojo-Álvarez, M. Martínez-Ramón and G. Camps-Valls

    Article first published online : 28 APR 2014, DOI: 10.1002/widm.1125

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    Index

    Kernel Methods for Remote Sensing Data Analysis

    Gustavo Camps-Valls, Lorenzo Bruzzone, Pages: 401–403, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.index