What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Programming language
Michael J. Gormish mainly focuses on Algorithm, Decoding methods, Wavelet transform, Lossy compression and Encoding.
His work on Entropy encoding as part of general Algorithm study is frequently linked to Data stream, therefore connecting diverse disciplines of science.
His Entropy encoding research is multidisciplinary, incorporating elements of Discrete wavelet transform, Stationary wavelet transform and Electronic engineering.
His Wavelet transform study is focused on Wavelet, Artificial intelligence and Computer vision.
In his research on the topic of Lossy compression, Quantization, Image compression and JPEG is strongly related with Lossless compression.
The Encoding study combines topics in areas such as Finite-state machine, Bitstream, Variable length and Compression.
His most cited work include:
- An overview of JPEG-2000 (352 citations)
- Method and apparatus for compression using reversible wavelet transforms and an embedded codestream (218 citations)
- Reformatting documents using document analysis information (215 citations)
What are the main themes of his work throughout his whole career to date?
Michael J. Gormish focuses on Artificial intelligence, Algorithm, Computer vision, Decoding methods and Image.
Michael J. Gormish has researched Artificial intelligence in several fields, including Computer graphics and Pattern recognition.
His studies in Algorithm integrate themes in fields like Entropy and Wavelet transform.
His Entropy research includes elements of Lossy compression and Context model.
His Decoding methods study incorporates themes from Speech recognition and Encoding.
His Image research incorporates themes from Identifier and Database.
He most often published in these fields:
- Artificial intelligence (24.34%)
- Algorithm (23.01%)
- Computer vision (21.68%)
What were the highlights of his more recent work (between 2008-2016)?
- Multimedia (7.52%)
- Database (10.18%)
- Stroke (3.10%)
In recent papers he was focusing on the following fields of study:
Michael J. Gormish spends much of his time researching Multimedia, Database, Stroke, Workflow and Session.
In his study, Classifier is inextricably linked to User interface, which falls within the broad field of Multimedia.
Many of his research projects under Database are closely connected to Risk analysis with Risk analysis, tying the diverse disciplines of science together.
His Workflow study integrates concerns from other disciplines, such as Electronic document, World Wide Web, Generator and Dashboard.
His biological study spans a wide range of topics, including Document engineering and Computer graphics.
His Geography research encompasses a variety of disciplines, including Image stitching, Computer vision and Artificial intelligence.
Between 2008 and 2016, his most popular works were:
- Device enabled verifiable stroke and image based workflows (52 citations)
- Stroke and image aggregation and analytics (29 citations)
- Method and Apparatus for Tamper Proof Camera Logs (29 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Programming language
The scientist’s investigation covers issues in Image, Multimedia, Workflow, Business and Computer network.
His Image study deals with the bigger picture of Artificial intelligence.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Product.
His studies deal with areas such as Analytics, Data mining, Classifier, User interface and Information capture as well as Multimedia.
His research on Workflow concerns the broader Database.
He interconnects Tamper resistance, Database transaction, Theoretical computer science and Forms processing in the investigation of issues within Computer network.
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.
