What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Algorithm
His scientific interests lie mostly in Artificial intelligence, Algorithm, Computer vision, Image processing and Sparse approximation.
His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
Alfred M. Bruckstein interconnects Curve evolution, Medial axis, Skeletonization, Signal and Shape analysis in the investigation of issues within Algorithm.
In his study, which falls under the umbrella issue of Computer vision, Digital watermarking, Digital image and Watermark is strongly linked to Holography.
His work carried out in the field of Sparse approximation brings together such families of science as Discrete mathematics, Matching pursuit, Wavelet transform and Neural coding.
His K-SVD research includes themes of Matrix decomposition, Matrix, k-means clustering, Cluster analysis and Signal processing.
His most cited work include:
- $rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation (7452 citations)
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images (1889 citations)
- Dictionaries for Sparse Representation Modeling (1048 citations)
What are the main themes of his work throughout his whole career to date?
Alfred M. Bruckstein spends much of his time researching Artificial intelligence, Computer vision, Algorithm, Robot and Swarm behaviour.
His Artificial intelligence research incorporates themes from Planar and Pattern recognition.
Alfred M. Bruckstein combines subjects such as Surface and Holography with his study of Computer vision.
His work focuses on many connections between Algorithm and other disciplines, such as Image compression, that overlap with his field of interest in Data compression.
His Robot research is multidisciplinary, incorporating perspectives in Grid, Simple, Distributed computing and Position.
His study on Swarm behaviour is mostly dedicated to connecting different topics, such as Upper and lower bounds.
He most often published in these fields:
- Artificial intelligence (39.83%)
- Computer vision (27.58%)
- Algorithm (23.68%)
What were the highlights of his more recent work (between 2016-2021)?
- Swarm behaviour (9.19%)
- Algorithm (23.68%)
- Robot (9.75%)
In recent papers he was focusing on the following fields of study:
Alfred M. Bruckstein mostly deals with Swarm behaviour, Algorithm, Robot, Artificial intelligence and Distributed computing.
His Swarm behaviour research includes elements of Orientation, Upper and lower bounds and Real-time computing.
His Algorithm study combines topics from a wide range of disciplines, such as Lossy compression, Distributed data store, Holography, Image compression and Compression.
His biological study spans a wide range of topics, including Time complexity, Grid, Simple, Protocol and Visibility.
He usually deals with Artificial intelligence and limits it to topics linked to Computer vision and Frame.
His studies in Distributed computing integrate themes in fields like Network topology, Multi-agent system, Connectivity and Mobile robot.
Between 2016 and 2021, his most popular works were:
- On Swarm Optimality in Dynamic and Symmetric Environments (20 citations)
- A Randomized Gathering Algorithm for Multiple Robots with Limited Sensing Capabilities (12 citations)
- Optimal Dynamic Coverage Infrastructure for Large-Scale Fleets of Reconnaissance UAVs (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Computer vision
His main research concerns Algorithm, Swarm behaviour, Robot, Drone and Compression.
His Algorithm research focuses on Distortion and how it connects with Focus and Iterative reconstruction.
His Swarm behaviour research is multidisciplinary, relying on both Distributed computing and Protocol.
In Robot, Alfred M. Bruckstein works on issues like Orientation, which are connected to Discrete time and continuous time, Sorting, Frame of reference and Randomized algorithm.
His research in Compression focuses on subjects like Image compression, which are connected to Binary data and Sensitivity.
In his work, Alfred M. Bruckstein performs multidisciplinary research in Artificial intelligence and Field.
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