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IGARSS
2009
13 years 5 months ago
Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
Goo Jun, Joydeep Ghosh
ALGOSENSORS
2009
Springer
14 years 2 months ago
Link Reversal: How to Play Better to Work Less
Sensor networks, with their ad hoc deployments, node mobility, and wireless communication, pose serious challenges for developing provably correct and efficient applications. A po...
Bernadette Charron-Bost, Jennifer L. Welch, Josef ...
ICML
2007
IEEE
14 years 8 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
WEBI
2004
Springer
14 years 1 months ago
Co-training with a Single Natural Feature Set Applied to Email Classification
When dealing with information overload from the Internet, such as the classification of Web pages and the filtering of email spam, a new technique called cotraining has been shown...
Jason Chan, Irena Koprinska, Josiah Poon
ICPR
2010
IEEE
14 years 12 days ago
Fast and Spatially-Smooth Terrain Classification Using Monocular Camera
In this paper, we present a monocular camera based terrain classification scheme. The uniqueness of the proposed scheme is that it inherently incorporates spatial smoothness while...
Chetan Jakkoju, Madhava Krishna, C. V. Jawahar