GAUSSIAN CONDITIONAL RANDOM FIELDS FOR REGRESSION IN REMOTE SENSING
Computer and Information Science === Ph.D. === In recent years many remote sensing instruments of various properties have been employed in an attempt to better characterize important geophysical phenomena. Satellite instruments provide an exceptional opportunity for global long-term observations of...
Main Author: | Radosavljevic, Vladan |
---|---|
Other Authors: | Obradovic, Zoran |
Format: | Others |
Language: | English |
Published: |
Temple University Libraries
2011
|
Subjects: | |
Online Access: | http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/210435 |
Similar Items
-
Geometric representations and deep Gaussian conditional random field networks for computer vision
by: Vemulapalli, Raviteja
Published: (2017) -
Learning Large-Scale Conditional Random Fields
by: Bradley, Joseph K.
Published: (2013) -
Efficient training methods for conditional random fields
by: Sutton, Charles A
Published: (2008) -
SDGH-Net: Ship Detection in Optical Remote Sensing Images Based on Gaussian Heatmap Regression
by: Zhenqing Wang, et al.
Published: (2021-01-01) -
Gene prediction with conditional random fields
by: Doherty, Matthew K
Published: (2008)