Back to Results
First PageMeta Content
Geostatistics / Machine learning / Linear filters / Kriging / Cross-validation / Kalman filter / Least squares / Spatial analysis / Unscented transform / Statistics / Regression analysis / Control theory


Hierarchical Probabilistic Regression for AUV-based Adaptive Sampling of Marine Phenomena Jnaneshwar Das∗ , Julio Harvey† , Frédéric Py† , Harshvardhan Vathsangam∗ , Rishi Graham† , Kanna Rajan† , Gaurav S.
Add to Reading List

Document Date: 2013-10-18 14:26:11

Open Document

File Size: 2,11 MB

Share Result on Facebook

City

Preston / Cambridge / santa barbara / San Diego / New York / /

Company

Neural Information Processing Systems / MIT Press / Robotic Embedded Systems Laboratory / /

Country

United States / /

/

Event

Man-Made Disaster / /

Facility

University of Southern California / Monterey Bay Aquarium Research Institute / Carnegie Melon University / Sheraton Hotel / /

IndustryTerm

technology allowing selective retrieval / remote detection tool / oil spill / closed-form solution / coastal ocean observing systems / /

NaturalFeature

Gulf of Mexico / Gulf of Mexico During / Ocean Engineering / Monterey Bay / /

Organization

Monterey Bay Aquarium Research Institute / National Science Foundation / Carnegie Melon University / University of Southern California / MIT / Lucile Packard Foundation / National Oceanic and Atmospheric Administration / NA11NOS4780052 / /

Person

Frédéric Py / D. Fox / ASE S TUDY / J. Ko / Julio Harvey / D. J. Klein / Gaurav S. Sukhatme / D. Haehnel / /

Position

candidate for further analysis / /

ProgrammingLanguage

L / /

ProvinceOrState

California / /

PublishedMedium

Machine Learning / /

Region

Southern California / Gulf of Mexico / /

Technology

remote sensing / machine learning / Simulation / AUV technology / /

URL

http /

SocialTag