2014 - SIAM Fellow For contributions to signal processing, image analysis, and ant robotics.
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.
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.
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.
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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$rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
M. Aharon;M. Elad;A. Bruckstein.
IEEE Transactions on Signal Processing (2006)
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
Alfred M. Bruckstein;David L. Donoho;Michael Elad.
Siam Review (2009)
Dictionaries for Sparse Representation Modeling
Ron Rubinstein;Alfred M Bruckstein;Michael Elad.
Proceedings of the IEEE (2010)
A probabilistic Hough transform
N. Kiryati;Y. Eldar;A. M. Bruckstein.
Pattern Recognition (1991)
A generalized uncertainty principle and sparse representation in pairs of bases
M. Elad;A.M. Bruckstein.
IEEE Transactions on Information Theory (2002)
A new method for image segmentation
S. D. Yanowitz;A. M. Bruckstein.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1989)
Skeletonization via distance maps and level sets
Ron Kimmel;Doron Shaked;Nahum Kiryati;Alfred M. Bruckstein.
Computer Vision and Image Understanding (1995)
Finding shortest paths on surfaces using level sets propagation
R. Kimmel;A. Amir;A.M. Bruckstein.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1995)
Distributed covering by ant-robots using evaporating traces
I.A. Wagner;M. Lindenbaum;A.M. Bruckstein.
international conference on robotics and automation (1999)
On Gabor's contribution to image enhancement
Michael Lindenbaum;M. Fischer;Alfred M. Bruckstein.
Pattern Recognition (1994)
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