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Supervised Vocal-Based Emotion Recognition Using Multiclass Support Vector Machine, Random Forests, and Adaboost 

Anbarjafari, Gholamreza; Noroozi, Fatemeh; Kaminska, Dorota; Sapinski, Tomasz (AUDIO ENGINEERING SOC, 2017-07)
This paper investigates and compares three different classifiers-multi-class Support Vector Machine, Adaboost, and random forests-for the purpose of vocal emotion recognition. Additionally, the decisions of all classifiers ...

Reducible dictionaries for single image super-resolution based on patch matching and mean shifting 

Anbarjafari, Gholamreza; Rasti, Pejman; Nasrollahi, Kamal; Orlova, Olga; Tamberg, Gert; Moeslund, Thomas B. (IS&T & SPIE, 2017-03)
A single-image super-resolution (SR) method is proposed. The proposed method uses a generated dictionary from pairs of high resolution (HR) images and their corresponding low resolution (LR) representations. First, HR ...



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Anbarjafari, Gholamreza (2)
Kaminska, Dorota (1)Moeslund, Thomas B. (1)Nasrollahi, Kamal (1)Noroozi, Fatemeh (1)Orlova, Olga (1)Rasti, Pejman (1)Sapinski, Tomasz (1)Tamberg, Gert (1)SubjectSPEECH; MODELS; CLASSIFICATION; FEATURES (1)super-resolution; dictionary reduction; interpolation kernel; image processing (1)... View MoreDate Issued
2017 (2)
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