Articles with "local low" as a keyword



Photo from wikipedia

Local low-rank Hawkes processes for modeling temporal user–item interactions

Sign Up to like & get
recommendations!
Published in 2019 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-019-01379-6

Abstract: Hawkes processes have become very popular in modeling multiple recurrent user–item interaction events that exhibit mutual-excitation properties in various domains. Generally, modeling the interaction sequence of each user–item pair as an independent Hawkes process is… read more here.

Keywords: local low; low rank; user item; hawkes processes ... See more keywords
Photo from wikipedia

Local Low-Rank and Sparse Representation for Hyperspectral Image Denoising

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2923255

Abstract: Hyperspectral image (HSI) denoising is a fundamental task in a plethora of HSI applications. Global low-rank property is widely adopted to exploit the spectral-spatial information of HSIs, providing satisfactory denoising results. In this paper, instead… read more here.

Keywords: hyperspectral image; low rank; local low; rank ... See more keywords
Photo from wikipedia

Pansharpening With Joint Local Low Rank Decomposition and Hierarchical Geometric Filtering

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2940482

Abstract: Extracting matched details of the PANchromatic (PAN) image and injecting them into the MultiSpectral (MS) images, is very crucial in pansharpening. In this paper, a new pansharpening method based on Joint Local Low Rank Decomposition… read more here.

Keywords: rank decomposition; geometric filtering; low rank; local low ... See more keywords

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3199885

Abstract: Given the detrimental effect of spectral variations in a hyperspectral image (HSI), this article investigates to recover its discriminative representation to improve the classification performance. We propose a new method, namely local low-rank approximation with… read more here.

Keywords: rank approximation; low rank; llra slpg; slpg ... See more keywords
Photo from wikipedia

Snowflake Removal for Videos via Global and Local Low-Rank Decomposition

Sign Up to like & get
recommendations!
Published in 2018 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2018.2808763

Abstract: Falling snow not only blocks human vision, but also significantly degrades the effectiveness of computer vision systems in outdoor environment. In this paper, we aim to remove snowflakes in videos by using the global and… read more here.

Keywords: snowflake; local low; global local; low rank ... See more keywords