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Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic
  Feature Selection Methods
v1v2 (latest)

Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods

28 August 2019
F. Haider
Senja Pollak
Pierre Albert
Saturnino Luz
ArXiv (abs)PDFHTML

Papers citing "Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods"

5 / 5 papers shown
Title
EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect
  Prediction
EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction
Abhinav Dhall
A. Kaur
Roland Göcke
Tom Gedeon
VGen
42
137
0
23 Aug 2018
Convolutional neural networks pretrained on large face recognition
  datasets for emotion classification from video
Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video
Boris Knyazev
Roman Shvetsov
N. Efremova
A. Kuharenko
CVBM
51
59
0
13 Nov 2017
Temporal Multimodal Fusion for Video Emotion Classification in the Wild
Temporal Multimodal Fusion for Video Emotion Classification in the Wild
Valentin Vielzeuf
S. Pateux
F. Jurie
CVBM
43
170
0
21 Sep 2017
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based
  Ranking Approach
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
Giorgio Roffo
Simone Melzi
U. Castellani
Alessandro Vinciarelli
BDL
33
212
0
24 Jul 2017
Generalized Fisher Score for Feature Selection
Generalized Fisher Score for Feature Selection
Quanquan Gu
Z. Li
Jiawei Han
81
762
0
14 Feb 2012
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