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Check our recent work. We introduce a Deep Convolutional Analysis Dictionary Model with convolutional dictionaries and soft-thresholding operators.
#DictionaryLearning#NeuralNetworks http://arxiv.org/abs/2002.00022 https://twitter.com/arxiv_org/status/1224913106461048833 …
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In our latest work, we present a new Deep Analysis Dictionary model with an effective learning algorithm. This leads to a deep model with high interpretability!
#DictionaryLearning#NeuralNetworks http://arxiv.org/abs/2001.12010v1 …https://twitter.com/arXiv_Daily/status/1224955674238443520 … -
An amended Joint Super-Resolution and Deblocking for a Compressed Images
#Imagesuperresolution,#sparserepresentation,#dictionarylearning,#selflearning,#imagedecomposition Read Full Paper and Explore thousands of paper on ijirtExplore -
Adaptive-Size Dictionary Learning Using Information Theoretic Criteria https://www.mdpi.com/1999-4893/12/9/178 …
#dictionarylearning#sparserepresentation#informationtheoreticcriteria#dictionarysize#algorithms#openaccesspic.twitter.com/Pqo2tLXJ7V
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Excited about some of the recent work on dictionary learning from tensor data that M. Ghassemi, Z. Shakeri,
@ergodicwalk, and myself have been doing; here is a recent paper (shorter ISIT 2019 version): http://www.inspirelab.us/wp-content/uploads/2019/08/GhassemiShakeriEtAl.ConfISIT19-Preprint.pdf …#DictionaryLearning#FeatureLearning -
New paper: Aiding Dictionary Learning Through Multi-Parametric Sparse Representation https://www.mdpi.com/1999-4893/12/7/131 …
#dictionarylearning#multiparametricproblem#sparserepresentation#cosparserepresentation#crosspolytopicconstraint#rankdeficientquadraticcost#algorithmspic.twitter.com/m2tMpPV6FL
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Great explanation of double atoms in
#dictionarylearning by Dr. Karin Schnass as a bunch of parachuters being dropping in a vallery surrounded by mountains and each wanting to climb one, but sometimes two end up on the same one and don’t want to go back down.#WorldOfPhotonicspic.twitter.com/wMGRdOWbz6
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I presented our work on Multiple-Kernel dictionary leaning at ESANN 2019, "In Bruges"! Paper: https://arxiv.org/abs/1903.01867 Slides: https://www.slideshare.net/babakhosseini1/esann2019-slides …
#DictionaryLearning#UnseenData#TimeSeriespic.twitter.com/HVBKfoPGFf
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Check out our latest book chapter on "Sample complexity bounds for dictionary learning from vector- and tensor-valued data." http://www.inspirelab.us/wp-content/uploads/2019/01/ShakeriSarwateEtAl.BookChInfoTh19-Preprint.pdf …
#DictionaryLearning -

New Special Issue "#DictionaryLearning#Algorithms and Applications" edited by Prof. Bogdan Dumitrescu from University Politehnica of Bucharest and Dr. Cristian Rusu from University of Edinburgh opens now! More details: http://www.mdpi.com/journal/algorithms/special_issues/dictionary_learning …pic.twitter.com/a9WjzrPR6p
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Dictionary-learning based method for degenerative disease monitoring https://buff.ly/2tFvCDa
#Alzheimers#dictionarylearning@SpringerOpenpic.twitter.com/mjnycnJ58d
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New paper from our lab! MIL
#DictionaryLearning for Beat-to-Beat#HeartRate Monitoring from#Ballistocardiograms http://bit.ly/2tBJ71W -
This past two weeks we've enjoyed
#worldbookday#Dictionarylearning… http://ln.is/www.instagram.com/p/T3lMC … -
Dictionary learning of sound speed profiles [physics.ao-ph, .data-an, .geo-ph, cs.IT]
#dictionarylearning http://arxiv.org/abs/1609.04994 -
For just a moment I feel joyful when I see a tweet about
#DL but it turns out to be#DeepLearning instead of#DictionaryLearning in no time. -
Achieved 25x to 60x reduction for large data sets in run-time for
#DictionaryLearning using K-SVD. It's been a productive weekend! -
Undersampled Face Recognition via Robust Auxiliary Dictionary Learning
#dictionarylearning http://www.slideshare.net/maxinetec/undersampled-face-recognition-via-robust-auxiliary-dictionary-learning … via@SlideShare -
Just when you think you are done with linear algebra at uni; the big data thesis brings it all out
#SVD#SparseMethods#DictionaryLearning -
Analysis of natural image patch covariance matrix and whitening transformation : http://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf#page=5 …
#covariance#dictionarylearning
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