The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Facial expression and Facial recognition system. Ioannis Patras connects Artificial intelligence with Invariant in his study. His Pattern recognition research is multidisciplinary, incorporating perspectives in Algorithm, Optimization problem, Real image and Probabilistic logic.
His Face, Pose and Contextual image classification study in the realm of Computer vision connects with subjects such as Voting. In his work, Affective computing, Emotion classification, Arousal and Valence is strongly intertwined with Visualization, which is a subfield of Contextual image classification. His Facial expression research integrates issues from Speech recognition, Face hallucination, Face detection and Landmark point.
Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Machine learning are his primary areas of study. His study in Artificial intelligence concentrates on Facial recognition system, Discriminative model, Support vector machine, Pose and Face. Ioannis Patras works mostly in the field of Facial recognition system, limiting it down to topics relating to Facial expression and, in certain cases, Facial muscles, Gesture and Speech recognition, as a part of the same area of interest.
His study in Pattern recognition is interdisciplinary in nature, drawing from both Contextual image classification, Pixel, Probabilistic logic and Regression. His study looks at the relationship between Computer vision and topics such as Salient, which overlap with Real image. His research in Feature extraction intersects with topics in Object detection, Codebook and Feature.
His scientific interests lie mostly in Artificial intelligence, Convolutional neural network, State, Machine learning and Automatic summarization. Ioannis Patras conducted interdisciplinary study in his works that combined Artificial intelligence and Group. His Convolutional neural network research is classified as research in Pattern recognition.
His work in Pattern recognition is not limited to one particular discipline; it also encompasses Face detection. His study in State is interdisciplinary in nature, drawing from both Speech recognition, Word, Relation and Deep neural networks. His Machine learning research is multidisciplinary, incorporating elements of Contextual image classification, User generated video and Multimedia forensics.
His primary scientific interests are in Artificial intelligence, Machine learning, Convolutional neural network, State and Annotation. In his works, he undertakes multidisciplinary study on Artificial intelligence and Task analysis. His study on Convolutional neural network is covered under Pattern recognition.
Ioannis Patras has included themes like Visualization, Face detection, Kernel and Regression in his Pattern recognition study. His studies in State integrate themes in fields like Measure, Speech recognition, Word and Relation. His Annotation research is multidisciplinary, relying on both Artificial neural network, Semantics and Image.
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DEAP: A Database for Emotion Analysis ;Using Physiological Signals
S. Koelstra;C. Muhl;M. Soleymani;Jong-Seok Lee.
IEEE Transactions on Affective Computing (2012)
Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences
M. Pantic;I. Patras.
systems man and cybernetics (2006)
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
Sander Koelstra;Maja Pantic;Ioannis Patras.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Spatiotemporal salient points for visual recognition of human actions
A. Oikonomopoulos;I. Patras;M. Pantic.
systems man and cybernetics (2005)
DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses
Mojtaba Khomami Abadi;Ramanathan Subramanian;Seyed Mostafa Kia;Paolo Avesani.
IEEE Transactions on Affective Computing (2015)
Fusion of facial expressions and EEG for implicit affective tagging
Sander Koelstra;Ioannis Patras.
Image and Vision Computing (2013)
Video segmentation by MAP labeling of watershed segments
I. Patras;E.A. Hendriks;R.L. Lagendijk.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2001)
Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos
Sander Koelstra;Ashkan Yazdani;Mohammad Soleymani;Christian Mühl.
Brain Informatics (2010)
Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data
M.F. Valstar;I. Patras;M. Pantic.
computer vision and pattern recognition (2005)
Coupled Gaussian processes for pose-invariant facial expression recognition
Ognjen Rudovic;Maja Pantic;Ioannis Patras.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)
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