Výsledky vyhledávání - "Dimensionality Reduction"

Tropical Principal Component Analysis and Its Application to Phylogenetics Autor Yoshida, Ruriko, Zhang, Leon, Zhang, Xu

Získat plný text

Corrections to "HTGCE: An Graph-Based and Classifier-Oriented Dimension Reduction Method for Multisource Heterogeneous Feature Tensors" Autor Gao, Tong, Chen, Hao, Chen, Wen

“…In the above article <xref ref-type="bibr" rid="ref1">[1] , some errors appear in equations due to incorrect fonts. First, the matrix variables should be…”
Získat plný text

Comparison of dimensionality reduction techniques for multi-variable spatiotemporal flow fields Autor Wang, Zihao, Zhang, Guiyong, Xing, Xiuqing, Xu, Xiangguo, Sun, Tiezhi

Získat plný text

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery Autor Jiang, Junjun, Ma, Jiayi, Chen, Chen, Wang, Zhongyuan, Cai, Zhihua, Wang, Lizhe

“…As an unsupervised dimensionality reduction method, the principal component analysis (PCA) has been widely considered as an efficient and effective…”
Získat plný text

Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification Autor Luo, Fulin, Zhang, Liangpei, Du, Bo, Zhang, Lefei

“…Dimensionality reduction (DR) is an important way of improving the classification accuracy of a hyperspectral image (HSI). Graph learning, which can…”
Získat plný text

Feature selection in machine learning: A new perspective Autor Cai, Jie, Luo, Jiawei, Wang, Shulin, Yang, Sheng

“…High-dimensional data analysis is a challenge for researchers and engineers in the fields of machine learning and data mining. Feature selection provides an…”
Získat plný text

Multi-Scale attributed node embedding Autor Rozemberczki, Benedek, Allen, Carl, Sarkar, Rik

“…Abstract We present network embedding algorithms that capture information about a node from the local distribution over node attributes around it, as observed…”
Získat plný text

Effective and efficient approach in IoT Botnet detection Autor Susanto, Susanto, Stiawan, Deris, Arifin, M. Agus Syamsul, Idris, Mohd. Yazid, Budiarto, Rahmat

“…Internet of Things (IoT) technology presents an advantage to daily life, but this advantage is not a guarantee of security. This is because cyber-attacks, such…”
Získat plný text

Efficient Multi-Scale Attention Module with Cross-Spatial Learning Autor Ouyang, Daliang, He, Su, Zhang, Guozhong, Luo, Mingzhu, Guo, Huaiyong, Zhan, Jian, Huang, Zhijie

“…Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various…”
Získat plný text

Hyperspectral image unsupervised classification by robust manifold matrix factorization Autor Zhang, Lefei, Zhang, Liangpei, Du, Bo, You, Jane, Tao, Dacheng

“…Hyperspectral remote sensing image unsupervised classification, which assigns each pixel of the image into a certain land-cover class without any training…”
Získat plný text

An explainable multi-feature dimensionality reduction framework: Considering trend inconsistency in wind power sample Autor Meng, Anbo, Liu, Honghui, Xiao, Liexi, Tan, Zhenglin, Huang, Ziqian, Zhang, Qi, Yan, Baiping, Yin, Hao

“…Offshore wind power prediction is significantly challenged by data quality issues arising from various factors such as environmental conditions and measurement…”
Získat plný text

Feature selection based on artificial bee colony and gradient boosting decision tree Autor Rao, Haidi, Shi, Xianzhang, Rodrigue, Ahoussou Kouassi, Feng, Juanjuan, Xia, Yingchun, Elhoseny, Mohamed, Yuan, Xiaohui, Gu, Lichuan

“…Data from many real-world applications can be high dimensional and features of such data are usually highly redundant. Identifying informative features has…”
Získat plný text

cPCA++: An efficient method for contrastive feature learning Autor Salloum, Ronald, Kuo, C.-C. Jay

“…•In this work, we propose a new data visualization and clustering technique for discovering discriminative structures in high-dimensional data.•This technique,…”
Získat plný text

Classes are Not Clusters: Improving Label-Based Evaluation of Dimensionality Reduction Autor Jeon, Hyeon, Kuo, Yun-Hsin, Aupetit, Michael, Ma, Kwan-Liu, Seo, Jinwook

“…A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated…”
Získat plný text

Overview and comparative study of dimensionality reduction techniques for high dimensional data Autor Ayesha, Shaeela, Hanif, Muhammad Kashif, Talib, Ramzan

“…•Examination of linear and non-linear dimensionality reduction techniques.•Selection of suitable dimensionality reduction techniques for diverse types of data…”
Získat plný text

Towards More Explainable Nonlinear Dimensionality Reduction: A Feature-Driven Interaction Approach Autor Cho, Aeri, Jeon, Hyeon, Choe, Kiroong, Park, Seokhyeon, Seo, Jinwook

“…Nonlinear dimensionality reduction (NDR) techniques are widely used to visualize high-dimensional data. However, they often lack explainability, making it…”
Získat plný text

Analyzing the impact of feature selection on the accuracy of heart disease prediction Autor Pathan, Muhammad Salman, Nag, Avishek, Pathan, Muhammad Mohisn, Dev, Soumyabrata

“…Heart Disease has become one of the most serious diseases that has a significant impact on human life. It has emerged as one of the leading causes of mortality…”
Získat plný text

Feature Selection for Classification using Principal Component Analysis and Information Gain Autor Odhiambo Omuya, Erick, Onyango Okeyo, George, Waema Kimwele, Michael

“…•Feature selection improves performance of machine learning algorithms.•Feature selection with more n-tier techniques is simpler and more stable.•A feature…”
Získat plný text

Demixed principal component analysis of neural population data Autor Kobak, Dmitry, Brendel, Wieland, Constantinidis, Christos, Feierstein, Claudia E, Kepecs, Adam, Mainen, Zachary F, Qi, Xue-Lian, Romo, Ranulfo, Uchida, Naoshige, Machens, Christian K

“…Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display…”
Získat plný text

Reduced-order modeling with reconstruction-informed projections Autor Armstrong, Elizabeth, Sutherland, James C.

Získat plný text