Artificial intelligence, Computer vision, Pattern recognition, Boosting and Face detection are his primary areas of study. His Artificial intelligence study frequently links to adjacent areas such as Detector. His Computer vision research incorporates themes from Mutual information and Maximization.
His work carried out in the field of Pattern recognition brings together such families of science as Estimator, Viola–Jones object detection framework, Joint and Statistical model. His work deals with themes such as Object-class detection and Haar-like features, which intersect with Viola–Jones object detection framework. His Boosting study which covers Feature selection that intersects with Image retrieval, Relevance feedback, Sparse approximation, Visual Word and Automatic image annotation.
His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Classifier and Boosting. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Natural language processing. Paul A. Viola has researched Computer vision in several fields, including Mutual information, Convolutional neural network and Maximization.
His studies in Pattern recognition integrate themes in fields like Language model, Object detection, Object-class detection and Viola–Jones object detection framework. Paul A. Viola works mostly in the field of Object detection, limiting it down to topics relating to Feature extraction and, in certain cases, Haar-like features, as a part of the same area of interest. The study incorporates disciplines such as Speech recognition, Word error rate, Visual Word, Feature selection and AdaBoost in addition to Boosting.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Speech recognition, Classifier and Information retrieval. Paul A. Viola combines subjects such as Machine learning and Computer vision with his study of Artificial intelligence. His study in the fields of Optical character recognition under the domain of Computer vision overlaps with other disciplines such as Process.
The concepts of his Pattern recognition study are interwoven with issues in Facial recognition system and Feature. His Classifier research incorporates elements of Segmentation and Training set. His study looks at the intersection of Speaker recognition and topics like Detector with Face detection.
Paul A. Viola mostly deals with Artificial intelligence, Information retrieval, Query expansion, Query optimization and Index. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. His work carried out in the field of Machine learning brings together such families of science as Classifier, Probability distribution, Face detection and Detector.
His Query expansion research incorporates themes from Search engine, Protocol and Sargable. The various areas that Paul A. Viola examines in his Index study include Web search query and User device. Paul A. Viola interconnects Statistical parsing, Image, Representation and Natural language processing in the investigation of issues within Boosting.
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Rapid object detection using a boosted cascade of simple features
P. Viola;M. Jones.
computer vision and pattern recognition (2001)
Robust Real-Time Face Detection
Paul Viola;Michael J. Jones.
International Journal of Computer Vision (2004)
Robust real-time object detection.
international conference on computer vision (2001)
Alignment by Maximization of Mutual Information
Paul Viola;William M. Wells.
International Journal of Computer Vision (1997)
Detecting Pedestrians Using Patterns of Motion and Appearance
Paul Viola;Michael J. Jones;Daniel Snow.
international conference on computer vision (2003)
Multi-modal volume registration by maximization of mutual information
William M. Wells;William M. Wells;Paul A. Viola;Paul A. Viola;Hideki Atsumi;Shin Nakajima.
Medical Image Analysis (1996)
Alignment by maximization of mutual information
P. Viola;W.M. Wells.
international conference on computer vision (1995)
Fast Multi-view Face Detection
Michael Jones;Paul Viola.
CTIT technical reports series (2003)
Boosting Image Retrieval
Kinh Tieu;Paul Viola.
International Journal of Computer Vision (2004)
Multiple Instance Boosting for Object Detection
Cha Zhang;John C. Platt;Paul A. Viola.
neural information processing systems (2005)
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