#dictionarylearning search results

🔥 Read our Paper 📚 Animal #PoseEstimation Based on #3DPriors 🔗 mdpi.com/2076-3417/13/3… 👨‍🔬 by Xiaowei Dai, Shuiwang Li, Qijun Zhao and Hongyu Yang 🏫 @SCUCN / Guilin University of Technology #dictionarylearning #3Dconstraints

Dictionary Learning in AI/ML is used to understand the context of network of words in neural networks. To explore this further I created this program to perform #DictionaryLearning which provides an output network, components, summary and glossary. huggingface.co/spaces/awacke1…

In “#SignalProcessing Using Dictionaries, Atoms, and Deep Learning: A Common #Analysis-Synthesis Framework,” @UAlberta’s Chao Zhang and Mirko van der Baan explore various signal processing, #DictionaryLearning, and #DeepLearning techniques, including strengths and weaknesses.

DL-CSNet: Dictionary Learning based Compressed Sensing Neural Network #TechRxiv #dictionarylearning #compressedsensing #NeuralNetworks #neuralnetwork techrxiv.org/articles/prepr…

Study explores dictionary learning-based bridge integration method for data harmonization of single-cell analysis news-medical.net/news/20220301/… @biorxivpreprint @NYUCAS #DictionaryLearning #DataHarmonization #SingleCellAnalysis

[Article] A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring #ProcessMonitoring #DictionaryLearning engineering.org.cn/en/10.1016/j.e…

That sounds fantastic, I would love to talk about these works at both depts., and also discuss some interesting parallels between the #dictionarylearning model and contemporary neural network models. Summer and Fall both work well, feel free to send me the dates. Thank you!✨

Yes, that's what I meant by dual. I mostly wanted to point out that NOODL is the current SOTA in #dictionarylearning. Regarding TensorNOODL, I am actually presenting a poster tomorrow at the Women in Theoretical ML Symposium ttic.edu/women-tml2021/ it will be great to talk there!

Hi Waheed, nice to see you virtually!🙂My comment regarding a) NOODL pertains to the SOTA works in #dictionarylearning you covered in the talk (i.e. Arora '14), and b)TensorNOODL can be seen as dual of your model where coefficients admit Khatri-Rao structure, which we pose as DL.

It is great to see applications in the medical domain!✨Would like to shamelessly plug my work on #dictionarylearning -- NOODL (ICLR '19) -- which guarantees exact recovery at a linear rate. Also, TensorNOODL (NeurIPS '20) -- tackles the tensor case! See sirisharambhatla.com/publications.h…✌️

Part I of my virtual visit to @NCState ECE Department involved delivering a colloquium on #tensor #regression and #dictionarylearning. Thank you Spyros Pavlidis and Michael Daniele for hosting and @BaronDror for inviting. YouTube video of the colloquium: youtube.com/watch?v=KQOCYp…

[New study of mild cognitive impairment] Lin et al. have developed an accurate prediction system for the progression of mild cognitive impairment to Alzheimer’s disease. doi.org/10.1016/j.clin… #AlzheimersDisease #MildCognitiveImpairment #DictionaryLearning #ClinicalNeuroph

Curious how #AI can be used to save lives? Here's an article that, IMHO, briefly describes an implementation of a #dictionaryLearning model that can point out potential adverse drug interactions. #MachineLearning #DeepLearning #ArtificialIntelligence buff.ly/2GZu9eC

[2002.00022] Learning Deep Analysis Dictionaries -- Part II: ConvolutionalDictionaries #DictionaryLearning #NeuralNetworks via @akdm_bot @DrYogiLBear @jayeshmthakur @BlkHwk0ps @subhobrata1 j.mp/2SlZ7mz

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 mdpi.com/1999-4893/12/9… #dictionarylearning #sparserepresentation #informationtheoreticcriteria #dictionarysize #algorithms #openaccess

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): inspirelab.us/wp-content/upl… #DictionaryLearning #FeatureLearning

Paper's here #dictionarylearning #spatiotemporal ieeexplore.ieee.org/document/86833…

New paper: Aiding Dictionary Learning Through Multi-Parametric Sparse Representation mdpi.com/1999-4893/12/7… #dictionarylearning #multiparametricproblem #sparserepresentation #cosparserepresentation #crosspolytopicconstraint #rankdeficientquadraticcost #algorithms

Check out our latest book chapter on "Sample complexity bounds for dictionary learning from vector- and tensor-valued data." inspirelab.us/wp-content/upl… #DictionaryLearning

Dictionary Learning in AI/ML is used to understand the context of network of words in neural networks. To explore this further I created this program to perform #DictionaryLearning which provides an output network, components, summary and glossary. huggingface.co/spaces/awacke1…

Dictionary-learning based method for degenerative disease monitoring buff.ly/2tFvCDa #Alzheimers #dictionarylearning @SpringerOpen

[New study of mild cognitive impairment] Lin et al. have developed an accurate prediction system for the progression of mild cognitive impairment to Alzheimer’s disease. doi.org/10.1016/j.clin… #AlzheimersDisease #MildCognitiveImpairment #DictionaryLearning #ClinicalNeuroph

Study explores dictionary learning-based bridge integration method for data harmonization of single-cell analysis news-medical.net/news/20220301/… @biorxivpreprint @NYUCAS #DictionaryLearning #DataHarmonization #SingleCellAnalysis

In “#SignalProcessing Using Dictionaries, Atoms, and Deep Learning: A Common #Analysis-Synthesis Framework,” @UAlberta’s Chao Zhang and Mirko van der Baan explore various signal processing, #DictionaryLearning, and #DeepLearning techniques, including strengths and weaknesses.

Curious how #AI can be used to save lives? Here's an article that, IMHO, briefly describes an implementation of a #dictionaryLearning model that can point out potential adverse drug interactions. #MachineLearning #DeepLearning #ArtificialIntelligence buff.ly/2GZu9eC

🔥 Read our Paper 📚 Animal #PoseEstimation Based on #3DPriors 🔗 mdpi.com/2076-3417/13/3… 👨‍🔬 by Xiaowei Dai, Shuiwang Li, Qijun Zhao and Hongyu Yang 🏫 @SCUCN / Guilin University of Technology #dictionarylearning #3Dconstraints

Adaptive-Size Dictionary Learning Using Information Theoretic Criteria mdpi.com/1999-4893/12/9… #dictionarylearning #sparserepresentation #informationtheoreticcriteria #dictionarysize #algorithms #openaccess

New paper: Aiding Dictionary Learning Through Multi-Parametric Sparse Representation mdpi.com/1999-4893/12/7… #dictionarylearning #multiparametricproblem #sparserepresentation #cosparserepresentation #crosspolytopicconstraint #rankdeficientquadraticcost #algorithms

🙌🙌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: mdpi.com/journal/algori…