M. Chi
Media Technology · IEEE Transactions on Geoscience and Remote Sensing · 2006–2019
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 45 citations into it; #835 of 3,621 by trust here, #910 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Atmospheric Science — 12 citations into it
- Artificial Intelligence — 11 citations into it
- Analytical Chemistry — 6 citations into it; #214 of 1,254 by trust here, #436 by citations
- Statistical Learning Theory — 6 citations into it
Whom M. Chi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gustau Camps-Valls
- Lorenzo Bruzzone
- Vladimir Naumovich Vapnik
- Vladimir Naumovich Vapni
- Thorsten Joachims
- Leo Breiman
- Farid Melgani
- Yushi Chen
- Chih-Wei Hsu
- Geoffrey E. Hinton
Who trusts M. Chi overall
- Lorenzo Bruzzone
- Gustau Camps-Valls
- Claudio Persello
- Pedram Ghamisi
- Devis Tuia
- Hao Wu
- Jon Atli Benediktsson
- Francesca Bovolo
- Andreas Kamilaris
- Mathieu Fauvel
Papers from M. Chi's perspective
Ordered by how strongly the researchers M. Chi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Fast Learning Algorithm for Deep Belief Nets
- Gradient-based learning applied to document recognition
- The Nature of Statistical Learning Theory
- Statistical learning theory
- Fully convolutional networks for semantic segmentation
- Neural Networks for Pattern Recognition
- Long Short-Term Memory
Their papers
- Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019) — 393 citations
- Big Data for Remote Sensing: Challenges and Opportunities (2016) — 523 citations
- A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images (2006) — 599 citations