Affective image classification by jointly using interpretable art features and semantic annotations

X Liu, N Li, Y **a - Journal of Visual Communication and Image …, 2019 - Elsevier
Affective image classification, which aims to classify images according to their affective
characteristics of inducing human emotions, has drawn increasing research attentions in the …

Affective computing of multi-type urban public spaces to analyze emotional quality using ensemble learning-based classification of multi-sensor data

R Li, T Yuizono, X Li - Plos one, 2022 - journals.plos.org
The quality of urban public spaces affects the emotional response of users; therefore, the
emotional data of users can be used as indices to evaluate the quality of a space. Emotional …

Advances in computer–human interaction for detecting facial expression using dual tree multi band wavelet transform and Gaussian mixture model

J Kommineni, S Mandala, MS Sunar… - Neural Computing and …, 2020 - Springer
In human communication, facial expressions play an important role, which carries enough
information about human emotions. Last two decades, it becomes a very active research …

[PDF][PDF] A node-to-set disjoint paths routing algorithm in torus-connected cycles

A Bossard, K Kaneko - ISCA International Journal of Computers and …, 2015 - isca-hq.org
Parallel processing and distributed computing are being actively researched, and multiple
topologies have been described in the literature as the interconnection network of all the …

[PDF][PDF] Common spatial pattern method for channel reduction in EEGBased emotion recognition

S Hatamikia, AM Nasrabadi - 2013 - sid.ir
Multi-channels Electroencephaloram (EEG) needs a long preparation time for electrode
installation. Furthermore, using a large number of EEG channels may contain redundant and …

Affective image classification by jointly using low-level visual features and interpretable aesthetic features

N Li, Y **a - 2016 International Conference on Orange …, 2016 - ieeexplore.ieee.org
Affective image classification has drawn increasing attentions in the multimedia community,
in which effectively describing the affective semantics plays an essential role. Although …

[PDF][PDF] EVALUATION OF FEATURE EXTRACTION AND

D Handayani, A Wahab, H Yaacob - academia.edu
The ability to identify a subject is indispensable in affective computing research due to its
wide range of applications. User profiling was created based on the strength of emotional …

[PDF][PDF] 多様な公共空間における感情品質と空間特性の関係に関する研究―マルチタイプデータを用いた機械分類法

**睿煊 - 2023 - dspace.jaist.ac.jp
JAIST Repository Page 1 Japan Advanced Institute of Science and Technology JAIST Repository
https://dspace.jaist.ac.jp/ Title 多様な公共空間における感情品質と空間特性の関 係に関する研究 …

Evaluation of feature extraction and classification techniques for EEG-based subject identification

D Handayani, A Wahab, H Yaacob - Jurnal Teknologi (Sciences & …, 2016 - journals.utm.my
The ability to identify a subject is indispensable in affective computing research due to its
wide range of applications. User profiling was created based on the strength of emotional …

CMAC-Based Computational Model of Affects (CCMA) from Self-Organizing Feature Map** Weights for Classification of Emotion Using EEG Signals.

H Yaacob, W Abdul… - International Journal for …, 2015 - search.ebscohost.com
Emotion is postulated to be generated at the brain. To capture the brain activities during
emotional processing, several neuro-imaging techniques have been adopted, including …