🔔 New article:
Wang et. al. propose a #RooftopExtraction method for high resolution imagery based on #SparseRepresentation and using the #RandomForest classifier.
🔗 doi.org/10.1080/014311…
#IJRS #RemoteSensing #FeatureSelection
🔔 New article:
Zheng et al. investigate a #contour detection and #SparseRepresentation approach to #farmland parcel boundary extraction, demonstrating the approach to be both fast and accurate.
🔗 doi.org/10.1080/014311…
#IJRS #RemoteSensing #agriculture
Use Sparse Representation: For memory-efficient processing, we opt for sparse representations when dealing with large datasets, optimizing computational resources. #SparseRepresentation #MemoryEfficiency #DataEngineering
Interesting Special Issue on sparse representation, co-organized by Cesar Caiafa, one of our collaborators. Do not miss it!
#sparserepresentation #machinelearning #computationalintelligence #neurosciences
Hindawi CONICET La Plata
Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain
mdpi.com/1424-8220/23/6…
#multifocusimage #imagefusion #localenergy #sparserepresentation #shearlet
#RSHighlyCitedPaper
Joint Local Block Grouping with Noise-Adjusted #PrincipalComponentAnalysis for #Hyperspectral #RemoteSensing #Imagery Sparse Unmixing
by Ruyi Feng, Lizhe Wang, Yanfei Zhong.
👉mdpi.com/2072-4292/11/1…
#SparseRepresentation
#LocalBlocks
#Hyperspectral Imagery
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
Compressed sensing for OMA using full-field vibration images #Compressedsensing #Shapedescriptor #Sparserepresentation #Structuralhealthmonitoring #Operationalmodalanalysis livrepository.liverpool.ac.uk/3039757
Robust DOA Estimation Against Outliers via Joint Sparse Representation #TechRxiv #SparseSignalProcessing #SparseRepresentation #SparseSignalProcessing
techrxiv.org/articles/prepr…
CircWaveDL: Modeling of Optical Coherence Tomography Images Based on a new Supervised Tensor-based Dictionary Learning for Classification of Macular abnormalities #TechRxiv #SparseRepresentation #Tomography #OCT
techrxiv.org/doi/full/10.36…
#MOSTWiedzy Rzadka reprezentacja sygnału niestacjonarnego w technice oszczędnego próbkowania bit.ly/2VBA8OG #sparserepresentation #nonstationarysignal #compressivesensing
Politechnika Gdańska #institutionalrepository #OA #ORD
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
My first #CVPR paper got accepted! Feeling accomplished! #CVPR 2014 #MultimodalLearning #SparseRepresentation
Image Super Resolution Reconstruction Based MCA and PCA Dimension Reduction #SparseRepresentation More @ mrw.so/3X6wmt
#highlycitedpaper
Low-Dose CT Image Post-Processing Based on Learn-Type Sparse Transform
mdpi.com/1424-8220/22/8…
LSU
#SparseRepresentation #SparseTransform
Compaleo, Jacob; Application of Sparse Representation to Radio... #DOAestimation ,geolocation,sparserepresentation rave.ohiolink.edu/etdc/view?acc_…
Tchorowski, Leo; Sparse-Constrained Equivalent Element Distribution... #antennamanifold ,platformeffects,sparserepresentation,antennarepresentation rave.ohiolink.edu/etdc/view?acc_…