What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Algorithm
Edward L. Schwartz focuses on Algorithm, Wavelet transform, Lossy compression, Decoding methods and Lossless compression.
Edward L. Schwartz incorporates Algorithm and Data stream in his research.
Edward L. Schwartz is investigating Wavelet, Computer vision and Artificial intelligence as part of his examination of Wavelet transform.
His research in the fields of Feature detection and Image overlaps with other disciplines such as Inverse.
His work focuses on many connections between Decoding methods and other disciplines, such as Encoding, that overlap with his field of interest in Compression, Parallel computing and Decodes.
His Lossless compression research is multidisciplinary, relying on both Entropy encoding, Image compression and Discrete cosine transform.
His most cited work include:
- Method and apparatus for compression using reversible wavelet transforms and an embedded codestream (218 citations)
- CREW: Compression with Reversible Embedded Wavelets (218 citations)
- Reformatting documents using document analysis information (215 citations)
What are the main themes of his work throughout his whole career to date?
Edward L. Schwartz spends much of his time researching Algorithm, Artificial intelligence, Computer vision, Wavelet transform and Decoding methods.
His study in Algorithm is interdisciplinary in nature, drawing from both Entropy and Lossy compression.
As a part of the same scientific family, he mostly works in the field of Entropy, focusing on Encoder and, on occasion, Computer hardware.
His work on Image and Image quality as part of general Artificial intelligence study is frequently linked to Set, therefore connecting diverse disciplines of science.
His research in Wavelet transform intersects with topics in Electronic engineering and Compression.
His biological study spans a wide range of topics, including Speech recognition, Encoding and Parallel computing.
He most often published in these fields:
- Algorithm (34.55%)
- Artificial intelligence (23.64%)
- Computer vision (20.45%)
What were the highlights of his more recent work (between 2008-2016)?
- Artificial intelligence (23.64%)
- Computer vision (20.45%)
- Image (10.45%)
In recent papers he was focusing on the following fields of study:
Edward L. Schwartz mainly investigates Artificial intelligence, Computer vision, Image, Database and User interface.
His Artificial intelligence study combines topics in areas such as Lens and Optical imaging.
The various areas that Edward L. Schwartz examines in his Computer vision study include Electronic engineering, Finite impulse response and Filter bank.
Edward L. Schwartz combines subjects such as Pattern recognition, Table and Document management system with his study of Image.
In general Database, his work in Workflow is often linked to Provider Edge, Application service provider and Business service provider linking many areas of study.
His User interface research incorporates elements of Software architecture, Multimedia and Portable computing.
Between 2008 and 2016, his most popular works were:
- Realogram scene analysis of images: superpixel scene analysis (52 citations)
- Realogram Scene Analysis of Images: Shelf and Label Finding (31 citations)
- Hybrid detection recognition system (28 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Software
His primary scientific interests are in Artificial intelligence, Computer vision, Image, Scene analysis and Computer graphics.
His Pattern recognition research extends to the thematically linked field of Artificial intelligence.
The Computer vision study combines topics in areas such as Identification, Mobile device and Document management system.
His work carried out in the field of Image brings together such families of science as Object, Generator, Class and Table.
The concepts of his Table study are interwoven with issues in Sorting, Data type and Theoretical computer science.
His work deals with themes such as Pixel, Controller and Projection, which intersect with Computer graphics.
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