#DictionaryLearning

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

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): #DictionaryLearning #FeatureLearning

Study explores dictionary learning-based bridge integration method for data harmonization of single-cell analysis @biorxivpreprint @NYUCAS #DictionaryLearning #DataHarmonization #SingleCellAnalysis

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:

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.

Check out our latest book chapter on "Sample complexity bounds for dictionary learning from vector- and tensor-valued data." #DictionaryLearning

DL-CSNet: Dictionary Learning based Compressed Sensing Neural Network #TechRxiv #dictionarylearning #compressedsensing #NeuralNetworks #neuralnetwork

Achieved 25x to 60x reduction for large data sets in run-time for #DictionaryLearning using K-SVD. It's been a productive weekend!

@SigProcessing @NCState @BaronDror 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