Amanote Research

Amanote Research

    RegisterSign In

Using Multi-View Recognition and Meta-Data Annotation to Guide a Robot's Attention

International Journal of Robotics Research - United States
doi 10.1177/0278364909340444
Full Text
Open PDF
Abstract

Available in full text

Categories
Electronic EngineeringMechanical EngineeringApplied MathematicsSimulationElectricalModelingArtificial IntelligenceSoftware
Date

July 1, 2009

Authors
Alexander ThomasVittorio FerrariBastian LeibeTinne TuytelaarsLuc Van Gool
Publisher

SAGE Publications


Related search

Multi-View Recognition Using Weighted View Selection

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2015English

Point of View From Robot's System User.

Journal of the Robotics Society of Japan
1990English

End-To-End Speech Recognition With Auditory Attention for Multi-Microphone Distance Speech Recognition

2017English

Spatio-Temporal and View Attention Deep Network for Skeleton Based View-Invariant Human Action Recognition

2018English

Paying Attention to Attention in Recognition Memory

Psychological Science
Psychology
2013English

Edge Orientation-Based Multi-View Object Recognition

English

On Selecting Useful Unlabeled Data Using Multi-View Learning Techniques

2015English

A Study of Multi-View Gender Recognition on a Large Database

2010English

MVDA: A Multi-View Genomic Data Integration Methodology

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy