Amanote Research

Amanote Research

    RegisterSign In

Multiple Instance Learning for Human Emotion Analysis Using Gabor Features

International Journal of Advances in Signal and Image Sciences
doi 10.29284/ijasis.4.2.2018.31-37
Full Text
Open PDF
Abstract

Available in full text

Date

December 28, 2018

Authors
Nagarajan P
Publisher

XLE Science


Related search

Revisiting Multiple-Instance Learning via Embedded Instance Selection

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Witness Identification in Multiple Instance Learning Using Random Subspaces

2016English

Effective Drusen Localization for Early AMD Screening Using Sparse Multiple Instance Learning

2015English

Multi-Objective Genetic Programming for Multiple Instance Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Patch Based Multiple Instance Learning Algorithm for Object Tracking

Computational Intelligence and Neuroscience
MedicineMathematicsComputer ScienceNeuroscience
2017English

Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Explicit Document Modeling Through Weighted Multiple-Instance Learning

Journal of Artificial Intelligence Research
Artificial Intelligence
2017English

Face Recognition Using Ada-Boosted Gabor Features

English

Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy