1993 - Member of the National Academy of Sciences
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Facial expression, Facial recognition system and Computer vision. His Artificial intelligence research focuses on Facial Action Coding System, Support vector machine, AdaBoost and Classifier. The Pattern recognition study combines topics in areas such as Pixel, Cognition and Communication.
His Facial expression study which covers Speech recognition that intersects with Two-alternative forced choice. His Facial recognition system research integrates issues from Machine learning, Feature, Independent component analysis, Gesture recognition and Principal component analysis. Marian Stewart Bartlett works mostly in the field of Computer vision, limiting it down to topics relating to Coding and, in certain cases, Face hallucination.
His primary areas of investigation include Artificial intelligence, Facial expression, Pattern recognition, Computer vision and Facial recognition system. His research is interdisciplinary, bridging the disciplines of Machine learning and Artificial intelligence. Marian Stewart Bartlett has researched Facial expression in several fields, including Facial expression recognition, Cognitive psychology and Speech recognition.
His Pattern recognition research incorporates themes from Supervised learning and Feature. His Computer vision study combines topics in areas such as Hebbian theory and Learning rule. His study focuses on the intersection of Facial recognition system and fields such as Gesture recognition with connections in the field of Three-dimensional face recognition.
Marian Stewart Bartlett spends much of his time researching Facial expression, Artificial intelligence, Pattern recognition, Discriminative model and Support vector machine. He mostly deals with Facial Action Coding System in his studies of Facial expression. His studies in Artificial intelligence integrate themes in fields like Computer vision and Natural language processing.
Marian Stewart Bartlett interconnects Machine learning and Cluster analysis in the investigation of issues within Pattern recognition. His Discriminative model research is multidisciplinary, relying on both Time point, Frame, Bag-of-words model, Boosting and Visualization. His Support vector machine study also includes
Marian Stewart Bartlett mainly investigates Facial expression, Artificial intelligence, Pattern recognition, Discriminative model and Social relation. His biological study spans a wide range of topics, including Developmental psychology, Autism, Typically developing and Autism spectrum disorder. His Artificial intelligence research includes themes of Time point, Neurotypical and Affect.
He combines subjects such as Supervised learning, Facial recognition system and Facial analysis with his study of Pattern recognition. His work carried out in the field of Discriminative model brings together such families of science as Frame, Cluster analysis, Bag-of-words model, Boosting and Visualization. His Social relation study combines topics from a wide range of disciplines, such as Motor system, Speech recognition, Facial Action Coding System and Pattern recognition.
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Face recognition by independent component analysis
M.S. Bartlett;J.R. Movellan;T.J. Sejnowski.
IEEE Transactions on Neural Networks (2002)
Classifying facial actions
G. Donato;M.S. Bartlett;J.C. Hager;P. Ekman.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)
Recognizing faces with PCA and ICA
Bruce A. Draper;Kyungim Baek;Marian Stewart Bartlett;J. Ross Beveridge.
Computer Vision and Image Understanding (2003)
Recognizing facial expression: machine learning and application to spontaneous behavior
M.S. Bartlett;G. Littlewort;M. Frank;C. Lainscsek.
computer vision and pattern recognition (2005)
Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction.
Marian Stewart Bartlett;Gwen Littlewort;Ian Fasel;Javier R. Movellan.
computer vision and pattern recognition (2003)
The computer expression recognition toolbox (CERT)
Gwen Littlewort;Jacob Whitehill;Tingfan Wu;Ian Fasel.
ieee international conference on automatic face gesture recognition (2011)
Fitting a Straight Line When Both Variables are Subject to Error
M. S. Bartlett.
Automatic Recognition of Facial Actions in Spontaneous Expressions
Marian Stewart Bartlett;Gwen C. Littlewort;Mark G. Frank;Claudia Lainscsek.
Journal of Multimedia (2006)
Measuring facial expressions by computer image analysis.
Marian Stewart Bartlett;Joseph C. Hager;Paul Ekman;Terrence J. Sejnowski;Terrence J. Sejnowski.
Independent component representations for face recognition
Marian Stewart Bartlett;Martin H. Lades;Terrence J. Sejnowski.
human vision and electronic imaging conference (1998)
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