Amanote Research

Amanote Research

    RegisterSign In

Model Fusion-Based Batch Learning With Application to Oil Spills Detection

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-31087-4_5
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2012

Authors
Chunsheng YangYubin YangJie Liu
Publisher

Springer Berlin Heidelberg


Related search

Batch-Based Active Learning: Application to Social Media Data for Crisis Management

Expert Systems with Applications
EngineeringComputer Science ApplicationsArtificial Intelligence
2018English

Context-Dependent Fusion With Application to Landmine Detection.

English

A Model-Based B2B (Batch to Batch) Control for an Industrial Batch Polymerization Process

Transactions of the Society of Instrument and Control Engineers
2010English

Learning Sample Subspace With Application to Face Detection

2004English

Bioremediation of Marine Oil Spills

2010English

Use of Surface Chemkin to Model Multiphase Atmospheric Chemistry: Application to Nitrogen Tetroxide Spills

2000English

Radioactive Threat Detection With Scattering Physics: A Model-Based Application

2010English

Batch Mode Active Learning and Its Application to Medical Image Classification

2006English

Eulerian Oil Spills Model Using Finite-Volume Method With Moving Boundary and Wet-Dry Fronts

Modelling and Simulation in Engineering
ModelingEngineeringComputer Science ApplicationsSimulation
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy