Silvia Marchesi
Media Technology · 2012
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 13 citations into it; #1,422 of 3,621 by trust here, #2,820 by citations
- Artificial Intelligence — 8 citations into it
- Atmospheric Science — 7 citations into it; #1,516 of 4,804 by trust here, #3,801 by citations
- Ecology — 7 citations into it
Whom Silvia Marchesi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lorenzo Bruzzone
- Turgay Çelik
- Francesca Bovolo
- Kimmo Vehkalahti
- Dan Pelleg
- Arthur P. Dempster
- Andrea Garzelli
- Jinsong Deng
- Gustau Camps-Valls
Who trusts Silvia Marchesi overall
- Lorenzo Bruzzone
- Francesca Bovolo
- Sicong Liu
- Sudipan Saha
- Lichao Mou
- Qi Wang
- A. Tewkesbury
- Pedram Ghamisi
Papers from Silvia Marchesi's perspective
Ordered by how strongly the researchers Silvia Marchesi trusts endorse each paper. Same corpus, a different order for every researcher.
- Automatic analysis of the difference image for unsupervised change detection (IEEE Transactions on Geoscience and Remote Sensing)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain (IEEE Transactions on Geoscience and Remote Sensing)
- Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection (IEEE Transactions on Geoscience and Remote Sensing)
- Some methods for classification and analysis of multivariate observations
- Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images (IEEE Transactions on Geoscience and Remote Sensing)
- PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data
- Cluster Analysis (Science)
- Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering (IEEE Geoscience and Remote Sensing Letters)
- X-means: Extending K-means with Efficient Estimation of the Number of Clusters