subspace-learning
There are 30 repositories under subspace-learning topic.
andrewssobral/lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
LLNL/libROM
Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods
mbrbic/Multi-view-LRSSC
Matlab implementation of multi-view low-rank sparse subspace clustering
kisungyou/Rdimtools
Dimension Reduction and Estimation Methods
hiroyuki-kasai/OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
andrewssobral/imtsl
IMTSL - Incremental and Multi-feature Tensor Subspace Learning
DTUComputeStatisticsAndDataAnalysis/MBPLS
(Multiblock) Partial Least Squares Regression for Python
feyzaakyurek/subspace-reg
Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
flatironinstitute/online_psp_matlab
Benchmark of online PCA algorithms
andylamp/moses
Streaming, Memory-Limited, r-truncated SVD Revisited!
thanhtbt/RST
[IEEE TSP 2021] “Robust Subspace Tracking with Missing Data and Outliers: Novel Algorithm with Convergence Guarantee”. IEEE Transactions on Signal Processing, 2021.
haeriamin/Subspace-Graph-Physics
Subspace Graph Physics
praneethmurthy/NORST
MATLAB implementation of "Nearly Optimal Robust Subspace Tracking", ICML 2018. Longer version to appear in IEEE Journal of Selected Areas in Information Theory, 2020.
ZhenhuaShi/MvBLS
source code for MvBLS paper
mbrbic/L0-motivated-LRSSC
Matlab implementation of L0 motivated low-rank sparse subspace clustering
taozh2017/DSS-MSC
Dual Shared-Specific Multiview Subspace Clustering
guanyuelee/PmSFC
We use self-expressive layer to learn the affinity matrix of the hidden space of a generator, and we found subspace in GAN. Also we propsed a subspace-based high-fidelity GAN inversion model.
fahadsohrab/mssvdd
Multimodal Subspace Support Vector Data Description
liaopeiyuan/Subspace-Learning
models/scripts for subspace learning written in MATLAB (2018 Yau Award CS Bronze)
praneethmurthy/distributed-pca
MATLAB implementation of "Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data", IEEE Transactions on Signal Processing, Jun 2022.
EnnengYang/DFGP
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV, 2023.
fahadsohrab/ssvdd
Subspace Support Vector Data Description
neelabhro/Subspace-Learning-for-Person-Re-identification
We propose a global and local feature transformation method for PRID. The global feature transformation matrix projects the data from different cameras to a common space. We further hypothesize that a latent basis matrix can be learnt in this space which represents the shared structure between different cameras using matrix factorization.
bghojogh/Prototype-Selection-Matrix-Decomposition
The code for prototype selection and instance ranking using matrix decomposition and subspace learning
ma-ath/subspyces
Subspaces in Python!
ZhenhuaShi/SDSPCAAN
source code for SDSPCAAN
adigasu/Dynamic_subspace_learners
A novel dynamic learning strategy that overcomes the empirical search of an optimal number of subspace learners in multiple metric learners.
fahadsohrab/essvdd
Ellipsoidal Subspace Support Vector Data Description
Js2Hou/Subspace-Regression-based-Face-Recognition
We implement some sparse representation based face recognition algorithms here, including LRC, SRC, CRC, ESRC and etc.
ZacharyVarley/ApproxPCATorch
Oja and implicit Krasulina approaches to batched approximate top-k PCA estimation.