Mean Map Kernel Methods for Semisupervised Cloud Classification

By Luis Gómez-Chova, Gustau Camps-Valls, Lorenzo Bruzzone, Javier Calpe-Maravilla. 2010

118 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Ecology, Media Technology, Statistical Learning Theory

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Bharath K. Sriperumbudur
2. Kenji Fukumizu
3. Krikamol Muandet
4. Devis Tuia
5. Bernhard Schölkopf
6. Luis Gómez-Chova
7. Gustau Camps-Valls
8. Gabriele Moser

In Ecology

1. Devis Tuia
2. Gustau Camps-Valls
3. Luis Gómez-Chova
4. Gabriele Moser
5. Bernhard Schölkopf

In Media Technology

1. Devis Tuia
2. Gustau Camps-Valls
3. Luis Gómez-Chova
4. Gabriele Moser
5. Kenji Fukumizu
6. Bernhard Schölkopf
7. Bharath K. Sriperumbudur
8. Lorenzo Bruzzone

In Statistical Learning Theory

1. Bharath K. Sriperumbudur
2. Kenji Fukumizu
3. Bernhard Schölkopf
4. Krikamol Muandet
5. Arthur Gretton
6. Dino Sejdinovic
7. Le Song
8. David Lopez-Paz

Citations in the corpus

• Kernel Mean Embedding of Distributions: A Review and Beyonds (2016, methodology): “where Ra ∈ Rn is the reward vector on a sample for action a and V(·) denotes the vector of value functions defined in terms of RKHS quantities (see Grünewälder et al. (2012), Nishiyama et al.”
• Multimodal Classification of Remote Sensing Images: A Review and Future Directions (2015, background): “and radar data [76], [87], data form the same satellite but completely different locations [88], or optical data from”
• Support vector machines in remote sensing: A review (2011, unknown): “Gomez-Chova et al. (2010) proposed a method to increase classification reliability and accuracy by combining labeled and unlabeled pixels using clustering and the mean map kernel.”
• A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images (2013, unknown): “The latter ones can be mitigated in the preprocessing with methods for atmospheric corrections, whereas clouds should be extracted at a higher level of processing with proper cloud-detection algorithms [77], [78].”
• Web usage mining for predicting final marks of students that use Moodle courses (2013, unknown): “Statistical methods have a long tradition and have been appliedtopracticalclassificationproblemsindifferentdomains, suchasbiology[33],meteorology[34],finance[35],etc. • A decision tree is a set of conditions organized in a hierarchical structure [36] that contains zero or more internal nodes and one…”