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Tensor Decomposition

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Showing 476–500 of 618 papers

TitleStatusHype
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
Visualization of High-dimensional Scalar Functions Using Principal ParameterizationsCode0
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks—0
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion—0
Learning Paths from Signature Tensors—0
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes—0
Generalized Canonical Polyadic Tensor Decomposition—0
Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions—0
OCTen: Online Compression-based Tensor Decomposition—0
Probabilistic Boolean Tensor DecompositionCode0
Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA—0
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach—0
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression—0
Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares—0
Embedding Syntax and Semantics of Prepositions via Tensor Decomposition—0
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition under Reshuffling—0
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion—0
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction—0
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition—0
Reciprocal Attention Fusion for Visual Question Answering—0
TensOrMachine: Probabilistic Boolean Tensor DecompositionCode0
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization—0
Identifying and Alleviating Concept Drift in Streaming Tensor DecompositionCode0
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings—0
E-commerce Anomaly Detection: A Bayesian Semi-Supervised Tensor Decomposition Approach using Natural Gradients—0
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