Object Classification via Feature Fusion Based Marginalized Kernels

IEEE Geoscience and Remote Sensing Letters- United States

doi 10.1109/lgrs.2014.2322953

Full Text

Abstract

Available in

Date

Authors

Unknown

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

A New Robust Object Tracking Algorithm Based on Multi-Feature Fusion

2016English

Efficient Temporal Kernels Between Feature Sets for Time Series Classification

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2017English

Zero-Shot Image Classification Algorithm Based on Particle Swarm Optimization Fusion Feature

Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Engineering
2019English

Multimodal Classification Using Feature Level Fusion and SVM

International Journal of Computer Applications
2013English

A Feature Fusion Approach for Hand Tools Classification

International Journal of Advanced Computer Science and Applications
Computer Science
2017English

Feature Fusion Using Ranking for Object Tracking in Aerial Imagery

2012English

Fast Multi-Scale Feature Fusion for ECG Heartbeat Classification

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2015English

Fusion of Feature Based and Deep Learning Methods for Classification of MMS Point Clouds

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2019English

Classification of Tumor Histopathology via Sparse Feature Learning

2013English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy