Results 11 to 20 of about 24,534 (144)
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
Dimensionality reduction is an essential technique for multi-way large-scale data, i.e., tensor. Tensor ring (TR) decomposition has become popular due to its high representation ability and flexibility.
Cao, Jianting +3 more
core +1 more source
In tensor completion tasks, the traditional low-rank tensor decomposition models suffer from the laborious model selection problem due to their high model sensitivity.
Cao, Jianting +4 more
core +1 more source
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in sequential data modeling.
Bai, Kun +6 more
core +1 more source
Efficient Low Rank Tensor Ring Completion
Using the matrix product state (MPS) representation of the recently proposed tensor ring decompositions, in this paper we propose a tensor completion algorithm, which is an alternating minimization algorithm that alternates over the factors in the MPS ...
Aeron, Shuchin +2 more
core +1 more source
Shadows and traces in bicategories
Traces in symmetric monoidal categories are well-known and have many applications; for instance, their functoriality directly implies the Lefschetz fixed point theorem. However, for some applications, such as generalizations of the Lefschetz theorem, one
A Dold +14 more
core +1 more source
The fusion of a low-spatial-resolution hyperspectral image (LR-HSI) and a high-spatial-resolution multispectral image (HR-MSI) is an effective way to generate a high-resolution hyperspectral image (HR-HSI).
Jun Zhang, Mengling He, Chengzhi Deng
doaj +1 more source
Spectral Methods from Tensor Networks
A tensor network is a diagram that specifies a way to "multiply" a collection of tensors together to produce another tensor (or matrix). Many existing algorithms for tensor problems (such as tensor decomposition and tensor PCA), although they are not ...
Anandkumar Animashree +2 more
core +1 more source
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
Characteristic classes and Hilbert-Poincar\'e series for perverse sheaves on abelian varieties
The convolution powers of a perverse sheaf on an abelian variety define an interesting family of branched local systems whose geometry is still poorly understood.
Krämer, Thomas
core +1 more source
Solution‐processed OLEDs containing discotic liquid‐crystalline MR‐TADF emitters are reported. Supramolecular self‐assembly induces homeotropic columnar alignment, enforcing preferential horizontal orientation of the emitter transition dipole moment in spin‐coated films, which leads to an enhancement in the device light outcoupling efficiency while ...
Joydip De +6 more
wiley +1 more source

