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Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm
decomposition. The method can be extended to tracking one or a few rank-one tensors of slow. Unlike matrix decomposition, the procedure which estimates the best rank-tensor a re...
BB - Aplikovaná statistika, operační výzkum
- 2015 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition
injects one or a few rank-1 tensors into the data tensor in order to controlCanonical polyadic decomposition of tensor is to approximate or express the tensor by sum of rank-1 <...
BB - Aplikovaná statistika, operační výzkum
- 2016 •
- D
Rok uplatnění
D - Stať ve sborníku
Tensor Rank-One Decomposition of Probability Tables
We propose a new additive decomposition of probability tables - tensor rank-one decomposition. The basic idea is to decompose a probability table into a series of tables of onedimensional tables. We show t...
BA - Obecná matematika
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
Exploiting Tensor Rank-One Decomposition in Probabilistic Inference
We propose a new additive decomposition of probability tables - tensor rank-one decomposition. The basic idea is to decompose a probability table into a series of tables representation of probability table...
BD - Teorie informace
- 2007 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Rank Splitting for CANDECOMP/PARAFAC
, one can extract two rank-1 tensors simultaneously, and rank of the data tensor is reduced by 2. For decomposition of order-3 tensors of size RRR and rank-R, the blockCANDECOMP/...
BB - Aplikovaná statistika, operační výzkum
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Deflation Method for CANDECOMP/PARAFAC Tensor Decomposition
CANDECOMP/PARAFAC tensor decomposition (CPD) approximates multiway data by rank-1 tensors. Unlike matrix decomposition, the procedure which estimates the best rank-R tensor approximation ...
BB - Aplikovaná statistika, operační výzkum
- 2014 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Probabilistic inference with noisy-threshold models based on a CP tensor decomposition
a special form. CPTs can be viewed as tensors. Tensors can be decomposed into linear combinations of rank-one tensors, where a rank-one tensor is an outer product of vectors. Su...
JD - Využití počítačů, robotika a její aplikace
- 2014 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network
convolutional kernels with its low-rank tensor approximations, whereas the Canonical Polyadic tensor Decomposition is one of the most suited models. However, fitting the convolutional tensors by n...
Electrical and electronic engineering
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound
In CANDECOMP/PARAFAC tensor decomposition, degeneracy often occurs in some difficult scenarios, especially, when the rank exceeds the tensor dimension, or when not have an optimal solution. In such cases, norms of ...
Statistics and probability
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Canonical polyadic tensor decomposition with low-rank factor matrices
This paper proposes a constrained canonical polyadic (CP) tensor decomposition method with low-rank factor matrices. In this way, we allow the CP decomposition an algorithm to decompose the tensors into fa...
Electrical and electronic engineering
- 2021 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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