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Erotic Audio Recognition Using Heterogeneous Ensemble Classifiers
2012
International Journal of Computer and Electrical Engineering
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Multiple feature vectors are extracted for each voiced fragments. Components classifiers including Support Vector Machine (SVM) are trained based on such feature vectors. ...
In this paper, we present a novel approach to the task of automatic adult video detection based on feature porno-sounds recognition using multiple feature vectors and an ensemble of binary classifiers. ...
In the classification mode, for an unknown audio track, the Erotic Audio Recognition Using Heterogeneous Ensemble Classifiers Ziqiang Shi, Tieran Zheng, Jiqing Han, and Boyang Gao features are fed into ...
doi:10.7763/ijcee.2012.v4.580
fatcat:lcciaglr7vbofmznyjjvtufgce
Machine learning for big visual analysis
2018
Machine Vision and Applications
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Sparse learning for visual analysis The article entitled "Biological Modeling of Human Visual System for Object Recognition using GLoP Filters and Sparse Coding on Multi-manifolds" proposed an extended ...
Deep learning for visual analysis The article entitled "Panchromatic and multi-spectral image fusion for new satellites based on multi-channel deep model" proposed a novel method based on the multi-channel ...
doi:10.1007/s00138-018-0948-5
fatcat:puwirktcpjg5bdfc4wxvuw77ua
MindLink-Eumpy: An Open-Source Python Toolbox for Multimodal Emotion Recognition
2021
Frontiers in Human Neuroscience
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The feasibility and efficiency of MindLink-Eumpy for emotion recognition is thus demonstrated. ...
We conducted two offline experiments on the Database for Emotion Analysis Using Physiological Signals (DEAP) dataset and the Multimodal Database for Affect Recognition and Implicit Tagging (MAHNOB-HCI) ...
ACKNOWLEDGMENTS We would like to thank Yongrui Huang, Jianhao Yang, and Siyu Liu for technical assistance. ...
doi:10.3389/fnhum.2021.621493
pmid:33679348
pmcid:PMC7933462
fatcat:7vdb3nslibdmrk3dtlglc64pau
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Intrinsically human communication is multimodal (heterogeneous), temporal and asynchronous; it consists of the language (words), visual (expressions), and acoustic (paralinguistic) modalities all in the ...
From a resource perspective, there is a genuine need for large scale datasets that allow for in-depth studies of multimodal language. ...
art and
new features for CMU-MOSEI and other datasets). ...
doi:10.18653/v1/p18-1208
dblp:conf/acl/MorencyCPLZ18
fatcat:g25wcs5dcbglnmbksasn5qlis4
Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces
2020
Brain Sciences
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Finally, we identify several important issues and research directions for multimodal emotion recognition based on BCI. ...
and brain signals, aBCI based on various hybrid neurophysiology modalities and aBCI based on heterogeneous sensory stimuli. ...
The Foundations of Multimodal Emotion Recognition
Multimodal Fusion Method With the development of multisource heterogeneous information fusion, fusing features from multiple classes of emotional states ...
doi:10.3390/brainsci10100687
pmid:33003397
pmcid:PMC7600724
fatcat:juzx77asgrh2zpl3s2jvw6tdcq
Towards A Multi-agent System for Online Hate Speech Detection
[article]
2021
arXiv
pre-print
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This paper envisions a multi-agent system for detecting the presence of hate speech in online social media platforms such as Twitter and Facebook. ...
Our experimental results aim to demonstrate the effectiveness of our methods for classifying online content, training the proposed neural network model to effectively detect hateful instances in the input ...
Finally, we combine the visual and textual feature vectors using an appropriate fusion module. ...
arXiv:2105.01129v1
fatcat:lakkm66thrfy3kidfc734cfjbe
Front Matter: Volume 11430
2020
MIPPR 2019: Pattern Recognition and Computer Vision
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Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
design based on artificial intelligence 11430 0R Hybrid feature fusion for person recognition in photo albums 11430 0T HOG and SVM algorithm based on vehicle model recognition 11430 0U Optimization ...
doi:10.1117/12.2565844
fatcat:kapfwn4xajdt3jzin3mks33oam
Learned Spatio-Temporal Texture Descriptors for RGB-D Human Action Recognition
2018
Computing and informatics
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However, the LBP and its variants are most artificially-designed, demanding engineers' strong prior knowledge and not discriminative enough for recognition tasks. ...
face descriptor learning in face recognition. ...
Moreover, Kong and Fu [36] proposed the bilinear heterogeneous information machine (BHIM) to learn cross-modal features for RGB-D action recognition, which captures heterogeneous visual and depth information ...
doi:10.4149/cai_2018_6_1339
fatcat:agvon7kcxfazzgrujz7y4mtlmy
A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets
2021
The Visual Computer
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integration and combination of heterogeneous visual cues across sensory modalities. ...
Unstructured real-world data can inherently take many forms, also known as modalities, often including visual and textual content. ...
Feature-level fusion (i.e., early fusion) provides a richness of information from heterogeneous data. ...
doi:10.1007/s00371-021-02166-7
pmid:34131356
pmcid:PMC8192112
fatcat:jojwyc6slnevzk7eaiutlmlgfe
Guest Editorial: Advanced Understanding and Modelling of Human Motion in Multidimensional Spaces
2016
Multimedia tools and applications
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Complex methods have been proposed for human motion understanding based on low-level machine-understanding features. ...
More recently, those technologies have also been widely exploited for the development of human-machine interaction, surveillance, medical diagnosis and computer animation, social interaction, and nonverbal ...
In the paper BHand posture recognition based on heterogeneous features fusion of multiple kernels learning^by Jiangtao Cao et al. ...
doi:10.1007/s11042-016-3674-x
fatcat:577la35fzzeltatyjwbuvghj6e
From Participatory Sensing to Mobile Crowd Sensing
[article]
2014
arXiv
pre-print
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A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. ...
The research on the efforts of combining human and machine intelligence has a long history. ...
In other words, the user-contributed data are used for a second purpose. MCS further explores the integration and fusion of the data from heterogeneous, cross-space data sources. ...
arXiv:1401.3090v1
fatcat:zrvj4jouhbhpbcsgywzx7nokoa
2020 Index IEEE Transactions on Biometrics, Behavior, and Identity Science Vol. 2
2020
IEEE Transactions on Biometrics Behavior and Identity Science
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., +, TBIOM Oct. 2020 410-420 Subclass Heterogeneity Aware Loss for Cross-Spectral Cross-Resolution Face Recognition. ...
., +, TBIOM Oct. 2020 410-420
Subclass Heterogeneity Aware Loss for Cross-Spectral Cross-Resolution
Face Recognition. ...
doi:10.1109/tbiom.2020.3028623
fatcat:3vyvmzuhpffbpjngto3syzr3zq
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery
2018
Cognitive Computation
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To alleviate these issues, Yang et al. design an automatic system to embed heterogeneous features implicitly and effectively into the DKT model. ...
computer vision, and machine learning. ...
In machine learning and pattern recognition, semantic meaning is more highly valued than low-level knowledge for extracting semantic knowledge from given texts, images, or videos. ...
doi:10.1007/s12559-017-9532-y
fatcat:64jcrljij5d6xgqjemgijftp7m
Extreme Learning Machine on High Dimensional and Large Data Applications
2015
Mathematical Problems in Engineering
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Lu developed a highly efficient approach for human activity recognition based on ELM and using only one triaxial accelerometer. S. ...
Cao et al. adopted the ELM-based predictors for the prediction of porosity and permeability in heterogeneous sandstone reservoir of Permian formation in Yanqi survey. P. ...
We also would like to express our sincere appreciation to the reviewers for their valuable and insightful comments on the submitted manuscripts to our special issue. ...
doi:10.1155/2015/624903
fatcat:shefej3l4rbgpcduigubcb3k74
Food Recommendation: Framework, Existing Solutions and Challenges
[article]
2019
arXiv
pre-print
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We then review existing solutions for these issues, and finally elaborate research challenges and future directions in this field. ...
This article proposes a unified framework for food recommendation, and identifies main issues affecting food recommendation including building the personal model, analyzing unique food characteristics, ...
Heterogeneous Food Analysis for Food Recommendation For single modality-oriented representation, the basic analysis method is visual food recognition with or without context information [7] , [35] , ...
arXiv:1905.06269v2
fatcat:epzmc5efqneqboyesqoqs7tmni
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