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Combining haar feature and skin color based classifiers for face detection
(IEEE, 2011)
This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed for gray-scale images is combined with a ...
Authoring and presentation tools for distance learning over interactive TV
(ACM, 2010)
We present a complete system for distance learning over interactive TV with novel tools for authoring and presentation of lectures and exams, and evaluation of student and system performance. The main technological ...
3B kamera takibi için eylemsizlik algılayıcılarının birleştirilmesi
(IEEE, 2012)
It is well known in a Bayesian filtering framework, the use of inertial sensors such as accelerometers and gyroscopes improves 3D tracking performance compared to using camera measurements only. The performance improvement ...
RANSAC-based training data selection for emotion recognition from spontaneous speech
(ACM, 2010)
Training datasets containing spontaneous emotional expressions are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) ...
Improving automatic emotion recognition from speech signals
(International Speech Communications Association, 2009)
We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge ...
INTERSPEECH 2009 duygu tanıma yarışması değerlendirmesi
(IEEE, 2010)
Bu makalede INTERSPEECH 2009 Duygu Tanıma Yarışması sonuçlarını değerlendiriyoruz. Yarışmanın sunduğu problem doğal ve duygu bakımından zengin FAU Aibo konuşma kayıtlarının beş ve iki duygu sınıfına en doğru şekilde ...
Use of line spectral frequencies for emotion recognition from speech
(IEEE, 2010)
We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the best of our knowledge. Spectral features ...
Formant position based weighted spectral features for emotion recognition
(Elsevier, 2011)
In this paper, we propose novel spectrally weighted mel-frequency cepstral coefficient (WMFCC) features for emotion recognition from speech. The idea is based on the fact that formant locations carry emotion-related ...
RANSAC-based training data selection on spectral features for emotion recognition from spontaneous speech
(Springer International Publishing, 2011)
Training datasets containing spontaneous emotional speech are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) ...
More learning with less labeling for face recognition
(Elsevier, 2023-05)
In this paper, we propose an improved face recognition framework where the training is started with a small set of human annotated face images and then new images are incorporated into the training set with minimum human ...
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