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Toplam kayıt 18, listelenen: 11-18
Combining Deep Facial and Ambient Features for First Impression Estimation
(Springer International Publishing Ag, 2016)
First impressions influence the behavior of people towards a newly encountered person or a human-like agent. Apart from the physical characteristics of the encountered face, the emotional expressions displayed on it, as ...
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks
(Isca-Int Speech Communication Assoc, 2016)
The field of Computational Paralinguistics is rapidly growing and is of interest in various application domains ranging from biomedical engineering to forensics. The INTERSPEECH ComParE challenge series has a field-leading ...
Kernel ELM and CNN based Facial Age Estimation
(IEEE, 2016)
e propose a two-level system for apparent age estimation from facial images. Our system first classifies samples into overlapping age groups. Within each group, the apparent age is estimated with local regressors, whose ...
Automatic detection of meniscal area in the knee MR images
(IEEE, 2016)
Nowadays computer-aided medical systems has become widespread. These systems assist the scientists in the medical field with diagnosis and treatment. In the same vein, in this study detection of medial meniscus from MR ...
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
(IEEE Computer Soc, 2016)
Affective computing, particularly emotion and personality trait recognition, is of increasing interest in many research disciplines. The interplay of emotion and personality shows itself in the first impression left on ...
Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines
(Springer International Publishing Ag, 2016)
One of the challenges in speech emotion recognition is robust and speaker-independent emotion recognition. In this paper, we take a cascaded normalization approach, combining linear speaker level, non-linear value level ...
BOUN-NKU in mediaeval 2017 emotional impact of movies task
(CEUR-WS, 2017)
In this paper, we present our approach for the Emotional Impact of Movies task of Mediaeval 2017 Challenge, involving multimodal fusion for predicting arousal and valence for movie clips. In our system, we have two pipelines. ...
Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics
(Association for Computing Machinery, Inc, 2019)
Cross-language, cross-cultural emotion recognition and accurate prediction of affective disorders are two of the major challenges in affective computing today. In this work, we compare several systems for Detecting Depression ...