What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Statistics
- Computer vision
Alice J. O'Toole spends much of her time researching Face, Facial recognition system, Artificial intelligence, Perception and Communication.
Alice J. O'Toole combines subjects such as Image processing, Connectionism, Face perception and Pattern recognition with her study of Facial recognition system.
Her studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.
Her Perception study integrates concerns from other disciplines, such as Cognition and Optimal distinctiveness theory.
Her Cognition research focuses on Social psychology and how it relates to Visual perception.
Her research in Communication intersects with topics in Stimulus, Cognitive psychology and Functional neuroimaging.
Her most cited work include:
- Prototype-referenced shape encoding revealed by high-level aftereffects (726 citations)
- Recognizing moving faces: a psychological and neural synthesis. (374 citations)
- FRVT 2006 and ICE 2006 large-scale results (353 citations)
What are the main themes of her work throughout her whole career to date?
Alice J. O'Toole spends much of her time researching Artificial intelligence, Facial recognition system, Face, Pattern recognition and Computer vision.
The study incorporates disciplines such as Matching, Machine learning and Communication in addition to Artificial intelligence.
Her Facial recognition system research incorporates themes from Cognitive psychology and Speech recognition.
Alice J. O'Toole combines subjects such as Motion, Perception, Identification, Identity and Pattern recognition with her study of Face.
Alice J. O'Toole has included themes like Developmental psychology and Cognition in her Perception study.
Her studies link Categorization with Pattern recognition.
She most often published in these fields:
- Artificial intelligence (46.89%)
- Facial recognition system (39.23%)
- Face (38.76%)
What were the highlights of her more recent work (between 2016-2021)?
- Face (38.76%)
- Convolutional neural network (10.53%)
- Artificial intelligence (46.89%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Face, Convolutional neural network, Artificial intelligence, Identification and Facial recognition system.
Her studies deal with areas such as Biological motion, Speech recognition and Identity as well as Face.
Her work carried out in the field of Speech recognition brings together such families of science as Face matching, Variation, Perception, Representation and Computer vision.
Her study looks at the relationship between Perception and fields such as Cognitive psychology, as well as how they intersect with chemical problems.
Her work deals with themes such as Natural language processing, Machine learning, Association and Pattern recognition, which intersect with Artificial intelligence.
Her Facial recognition system study which covers Set that intersects with Trait.
Between 2016 and 2021, her most popular works were:
- Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms. (98 citations)
- Face Space Representations in Deep Convolutional Neural Networks (46 citations)
- Face and Image Representation in Deep CNN Features (18 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Alice J. O'Toole focuses on Facial recognition system, Convolutional neural network, Face, Artificial intelligence and Identification.
Alice J. O'Toole focuses mostly in the field of Facial recognition system, narrowing it down to topics relating to Image quality and, in certain cases, Statistics and Image representation.
Her Face research incorporates themes from Biological motion, Speech recognition, Expression, Deep learning and Identity.
Alice J. O'Toole has researched Identity in several fields, including Similarity, Perception and Neural coding.
Her Artificial intelligence study incorporates themes from Machine learning, Forensic science and Pattern recognition.
As part of one scientific family, Alice J. O'Toole deals mainly with the area of Identification, narrowing it down to issues related to the Principal component analysis, and often Curse of dimensionality, Code and Identity.
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