D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 34 Citations 6,172 140 World Ranking 8006 National Ranking 3741

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Richard J. Radke mainly focuses on Artificial intelligence, Computer vision, Feature extraction, Segmentation and Pattern recognition. His research in Artificial intelligence intersects with topics in Matching and Machine learning. His work on Ranking as part of general Machine learning study is frequently connected to Protocol, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

His work on Camera resectioning, Re identification and Image editing is typically connected to Prior probability as part of general Computer vision study, connecting several disciplines of science. His Camera resectioning research includes elements of Smart camera and Bundle adjustment. Richard J. Radke has researched Feature extraction in several fields, including Feature, Object detection, Motion estimation, Motion field and Trajectory.

His most cited work include:

  • Image change detection algorithms: a systematic survey (1511 citations)
  • Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells (157 citations)
  • Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries (131 citations)

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

Richard J. Radke spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Mathematical optimization and Machine learning. Segmentation, Feature extraction, Image segmentation, Re identification and Feature are the core of his Artificial intelligence study. His research on Computer vision frequently connects to adjacent areas such as Lidar.

His Pattern recognition research is multidisciplinary, incorporating perspectives in Bilinear interpolation and Metric. In Mathematical optimization, Richard J. Radke works on issues like Dimensionality reduction, which are connected to Radiation treatment planning. His work in Machine learning covers topics such as Analytics which are related to areas like Ranking, Benchmark and Grid.

He most often published in these fields:

  • Artificial intelligence (64.19%)
  • Computer vision (40.54%)
  • Pattern recognition (14.86%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (64.19%)
  • Machine learning (9.46%)
  • Re identification (8.11%)

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

His primary areas of investigation include Artificial intelligence, Machine learning, Re identification, Key and Human–computer interaction. The various areas that Richard J. Radke examines in his Artificial intelligence study include Natural language processing, Computer vision and Pattern recognition. His Computer vision research includes themes of Space, Range, Sparse array and Light source.

His work in Machine learning tackles topics such as Analytics which are related to areas like Benchmark, Ranking and Grid. His biological study deals with issues like Categorization, which deal with fields such as Anomaly detection and Visualization. His study in the field of Immersive technology is also linked to topics like Web page, Overhead and Spatial interaction.

Between 2015 and 2021, his most popular works were:

  • A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets (103 citations)
  • Re-Identification With Consistent Attentive Siamese Networks (79 citations)
  • A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. (37 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Machine learning, Feature extraction, Analytics and Re identification. His Artificial intelligence study incorporates themes from Control system and Sparse array. His study on Machine learning is mostly dedicated to connecting different topics, such as Linear discriminant analysis.

His Feature extraction study also includes

  • Codebase most often made with reference to Data mining,
  • Ranking which connect with Histogram. His biological study spans a wide range of topics, including Regularization, Feature transformation and Pattern recognition. His Re identification study combines topics in areas such as Disjoint sets, Multi camera, Software architecture and Thesaurus.

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.

Best Publications

Image change detection algorithms: a systematic survey

R.J. Radke;S. Andra;O. Al-Kofahi;B. Roysam.
IEEE Transactions on Image Processing (2005)

2391 Citations

Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells

Omar Al-Kofahi;Richard J Radke;Susan K Goderie;Qin Shen.
Cell Cycle (2006)

216 Citations

Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries

Srikrishna Karanam;Yang Li;Richard J. Radke.
international conference on computer vision (2015)

212 Citations

Model-based segmentation of medical imagery by matching distributions

D. Freedman;R.J. Radke;Tao Zhang;Yongwon Jeong.
IEEE Transactions on Medical Imaging (2005)

194 Citations

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

Srikrishna Karanam;Mengran Gou;Ziyan Wu;Angels Rates-Borras.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

175 Citations

Re-Identification With Consistent Attentive Siamese Networks

Meng Zheng;Srikrishna Karanam;Ziyan Wu;Richard J. Radke.
computer vision and pattern recognition (2019)

160 Citations

Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features

Ziyan Wu;Yang Li;Richard J. Radke.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2015)

146 Citations

Detecting Dominant Motions in Dense Crowds

A.M. Cheriyadat;R.J. Radke.
IEEE Journal of Selected Topics in Signal Processing (2008)

112 Citations

Sparse re-id: Block sparsity for person re-identification

Srikrishna Karanam;Yang Li;Richard J. Radke.
computer vision and pattern recognition (2015)

112 Citations

Distributed metric calibration of ad hoc camera networks

Dhanya Devarajan;Richard J. Radke;Haeyong Chung.
ACM Transactions on Sensor Networks (2006)

104 Citations

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