Back to Results
First PageMeta Content
Cybernetics / Estimation theory / Extended Kalman filter / Kalman filter / Normal distribution / Continuous function / Robot control / Control theory / Statistics


A Low False Negative Filter for Detecting Rare Bird Species from Short Video Segments using a Probable Observation Data Set-based EKF Method ∗ Dezhen Song and Yiliang Xu Department of Computer Science and Engineering,
Add to Reading List

Document Date: 2010-03-31 14:15:43


Open Document

File Size: 352,81 KB

Share Result on Facebook

City

College Station / Observation Data Set / /

Company

2D / Arkansas Electric Cooperatives Corp. / /

/

Facility

Texas A&M University / /

IndustryTerm

Approximate algorithms / search field data / bird filtering algorithm / nonlinear deterministic discrete-time systems / learning algorithm / /

OperatingSystem

Windows XP / /

Organization

National Science Foundation / Artificial Copyright Intelligence / Texas A&M University / Association for the Advancement / Dezhen Song and Yiliang Xu Department of Computer Science and Engineering / U.S. Fish and Wildlife Service / Pattern Analysis and Machine Intelligence / /

Position

bird head / observer for nonlinear deterministic discrete-time systems / /

ProgrammingLanguage

FP / /

ProvinceOrState

Texas / Arkansas / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Region

eastern Arkansas / /

Technology

learning algorithm / RAM / filtering algorithm / distance learning / artificial intelligence / bird filtering algorithm / simulation / html / PODS-EKF algorithm / MRI / /

URL

http /

SocialTag