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04/14/2022
LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections
Accurate segmentation of medical images is essential for diagnosis and t...
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03/07/2022
Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver
Application of artificial intelligence in medicine brings in highly accu...
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08/26/2020
Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images
This paper proposes low tensor-train (TT) rank and low multilinear (ML) ...
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04/03/2020
Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification
Insufficient capability of existing subspace clustering methods to handl...
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12/17/2018
ℓ_0-Motivated Low-Rank Sparse Subspace Clustering
In many applications, high-dimensional data points can be well represent...
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09/29/2017
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering
A recent theoretical analysis shows the equivalence between non-negative...
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08/29/2017
