Results 1 to 10 of about 18,794 (253)

Kernel Manifold Alignment for Domain Adaptation. [PDF]

PLoS ONE, 2016
The wealth of sensory data coming from different modalities has opened numerous opportunities for data analysis. The data are of increasing volume, complexity and dimensionality, thus calling for new methodological innovations towards multimodal data ...
Devis Tuia, Gustau Camps-Valls
doaj   +8 more sources

MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics [PDF]

Genome Biology, 2017
Single cell experimental techniques reveal transcriptomic and epigenetic heterogeneity among cells, but how these are related is unclear. We present MATCHER, an approach for integrating multiple types of single cell measurements.
Joshua D. Welch, Alexander J. Hartemink, Jan F. Prins   +2 more
doaj   +2 more sources

Patch Alignment Manifold Matting [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2018
13 pages, 7 ...
Xuelong Li, Yongsheng Dong, Dacheng Tao   +2 more
exaly   +4 more sources

Manifold Alignment via Global and Local Structures Preserving PCA Framework

IEEE Access, 2019
Manifold alignment is very prevalent in machine learning for extracting common latent space from multiple datasets. These algorithms generally aim to achieve higher alignment accuracies by preserving the original structure while ensuring closeness ...
Timothy Apasiba Abeo, Xiang-Jun Shen
exaly   +3 more sources

Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders

Algorithms, 2019
The aim of manifold learning is to extract low-dimensional manifolds from high-dimensional data. Manifold alignment is a variant of manifold learning that uses two or more datasets that are assumed to represent different high-dimensional representations ...
Fayeem Aziz, Aaron S W Wong, Stephan K Chalup   +2 more
exaly   +3 more sources

The Neuro-Cardiac Symbiotic Engine: A Multimodal Fusion Architecture for Cognitive State Decoding via High-Performance Computing [PDF]

Life
Robust decoding of latent cognitive states from non-stationary physiological time series is a challenging high-dimensional signal processing problem. Traditional unimodal frameworks based only on electroencephalography often show covariate shift and weak
Nayeli Bastidas-Benalcazar, Julián A. Calero-Apunte, Diego Almeida-Galarraga, Paulo Navas-Boada, Omar Alvarado-Cando, Andrés Tirado-Espín, Fernando Villalba-Meneses, Henry Carvajal Mora, Nathaly Orozco Garzón   +8 more
doaj   +2 more sources

Revealing the intrinsic ethical vulnerability of aligned large language models [PDF]

Nature Communications
Large language models (LLMs) represent foundational advances toward artificial general intelligence, yet their alignment with human values via instruction tuning and preference learning achieves only superficial ethical compliance.
Jiawei Lian, Jianhong Pan, Lefan Wang, Yi Wang, Xiaofei Wang, Yingjie Lu, Shaohui Mei, Lap-Pui Chau   +7 more
doaj   +2 more sources

Study on a high precision alignment system with dual cameras. [PDF]

PLoS ONE
This study focuses on developing an automatic high-precision alignment system that integrates automated optical inspection with machine vision recognition to replace traditional manual alignment methods.
Chao-Chung Liu, Chih-Chiang Fang, Chao-Shu Liu   +2 more
doaj   +2 more sources

Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification

ISPRS Journal of Photogrammetry and Remote Sensing, 2019
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot   +2 more
exaly   +2 more sources

Manifold Alignment for Semantically Aligned Style Transfer [PDF]

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
9 ...
Jing Huo, Shiyin Jin, Wenbin Li 0006, Jing Wu 0004, Yu-Kun Lai, Yinghuan Shi, Yang Gao 0001   +6 more
openaire   +3 more sources