H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 5,503 126 World Ranking 8605 National Ranking 3992

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algebra

His primary scientific interests are in Artificial intelligence, Machine learning, Biometrics, Support vector machine and Pattern recognition. His study in Machine learning is interdisciplinary in nature, drawing from both Facial recognition system and Cognitive neuroscience of visual object recognition. His Facial recognition system study incorporates themes from Generalization and 3D single-object recognition.

His Biometrics study combines topics from a wide range of disciplines, such as Transformation, Computer network, Identity and Cryptography. He has researched Support vector machine in several fields, including Visualization, Training set, Psychophysics and Computer vision. Walter J. Scheirer combines subjects such as Normalization, Image retrieval, Fingerprint recognition and Image fusion with his study of Pattern recognition.

His most cited work include:

  • Toward Open Set Recognition (379 citations)
  • Cracking Fuzzy Vaults and Biometric Encryption (260 citations)
  • Probability Models for Open Set Recognition (241 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Machine learning, Facial recognition system, Pattern recognition and Computer vision. All of his Artificial intelligence and Deep learning, Face, Convolutional neural network, Biometrics and Artificial neural network investigations are sub-components of the entire Artificial intelligence study. His Biometrics research is multidisciplinary, incorporating perspectives in Mobile device and Cryptography.

Walter J. Scheirer interconnects Bayesian probability, Cognitive neuroscience of visual object recognition, Visual Psychophysics and Random search in the investigation of issues within Machine learning. His work carried out in the field of Facial recognition system brings together such families of science as Image processing, Image retrieval and Set. His Pattern recognition research incorporates elements of Normalization and Face hallucination.

He most often published in these fields:

  • Artificial intelligence (61.88%)
  • Machine learning (26.24%)
  • Facial recognition system (19.31%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (61.88%)
  • Machine learning (26.24%)
  • Pattern recognition (17.82%)

In recent papers he was focusing on the following fields of study:

Walter J. Scheirer mainly investigates Artificial intelligence, Machine learning, Pattern recognition, Deep learning and Convolutional neural network. His work on Computer vision expands to the thematically related Artificial intelligence. In his research on the topic of Machine learning, Mixture model, Multivariate statistics, Inference and Covariate is strongly related with Bayesian probability.

His research on Pattern recognition also deals with topics like

  • Face hallucination which is related to area like Identity,
  • Generalization and related Ground truth. His Deep learning research is multidisciplinary, incorporating elements of Robotics, The Internet, Sensory system and Human–computer interaction. Walter J. Scheirer has included themes like Visual Psychophysics, Machine vision and Human brain in his Convolutional neural network study.

Between 2017 and 2021, his most popular works were:

  • The limits and potentials of deep learning for robotics (211 citations)
  • The Extreme Value Machine (93 citations)
  • Using human brain activity to guide machine learning. (37 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Walter J. Scheirer mostly deals with Artificial intelligence, Machine learning, Convolutional neural network, Facial recognition system and Deep learning. His Artificial intelligence study integrates concerns from other disciplines, such as Psychophysics and Set. The various areas that Walter J. Scheirer examines in his Machine learning study include Stimulus, Visual Psychophysics, Random search and Machine translation.

His Facial recognition system research includes elements of Personally identifiable information and Biometrics. His research in Deep learning intersects with topics in Exploit, Backdoor and Robotics. His work deals with themes such as Machine vision and Human brain, which intersect with Cognitive neuroscience of visual object recognition.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Toward Open Set Recognition

W. J. Scheirer;A. de Rezende Rocha;A. Sapkota;T. E. Boult.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)

573 Citations

Cracking Fuzzy Vaults and Biometric Encryption

W.J. Scheirer;T.E. Boult.
The Bulletin of the Center for Children's Books (2007)

393 Citations

Probability Models for Open Set Recognition

Walter J. Scheirer;Lalit P. Jain;Terrance E. Boult.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)

306 Citations

Vision of the unseen: Current trends and challenges in digital image and video forensics

Anderson Rocha;Walter Scheirer;Terrance Boult;Siome Goldenstein.
ACM Computing Surveys (2011)

303 Citations

The limits and potentials of deep learning for robotics

Niko Sünderhauf;Oliver Brock;Walter J. Scheirer;Raia Hadsell.
The International Journal of Robotics Research (2018)

233 Citations

Revocable fingerprint biotokens: accuracy and security analysis

T. E. Boult;W. J. Scheirer;R. Woodworth.
computer vision and pattern recognition (2007)

227 Citations

Multi-attribute spaces: Calibration for attribute fusion and similarity search

Walter J. Scheirer;Neeraj Kumar;Peter N. Belhumeur;Terrance E. Boult.
computer vision and pattern recognition (2012)

211 Citations

Multi-class Open Set Recognition Using Probability of Inclusion

Lalit P. Jain;Walter J. Scheirer;Terrance E. Boult.
european conference on computer vision (2014)

187 Citations

Meta-Recognition: The Theory and Practice of Recognition Score Analysis

W J Scheirer;A Rocha;R J Micheals;T E Boult.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

173 Citations

Authorship Attribution for Social Media Forensics

Anderson Rocha;Walter J. Scheirer;Christopher W. Forstall;Thiago Cavalcante.
IEEE Transactions on Information Forensics and Security (2017)

157 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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