Results 171 to 180 of about 13,903 (307)

Subspace Identification of Bridge Frequencies Based on the Dimensionless Response of a Two-Axle Vehicle. [PDF]

Sensors (Basel)
Quan Y, Zeng Q, Jin N, Zhu Y, Liu C.
europepmc   +1 more source

Understanding Stochastic Subspace Identification

, 2006
The data driven Stochastic Subspace Identification techniques is considered to be the most powerful class of the known identification techniques for natural input modal analysis in the time domain.
Andersen, Palle, Brincker, Rune
core  

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity. [PDF]

J Neural Eng
Ahmadipour P, Sani OG, Pesaran B, Shanechi MM.   +3 more
europepmc   +1 more source

Unsupervised hyperspectral signal subspace identification

, 2009
Hyperspectral imaging sensors provide image data containing both spectral and spatial information from the Earth surface. The huge data volumes produced by these sensors put stringent requirements on communications, storage, and processing.
Nascimento, Jose, Bioucas-Dias, José M.
core  

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Identifying Positive Real Models in Subspace Identification by Using Regularization

, 2002
This paper deals with the lack of positive realness of identified models that may be encountered in many stochastic subspace identification procedures. Lack of positive realness is an often neglected, but important problem.
Johan Suykens, Ivan Goethals, Bart De Moor, Paul Van Dooren, Tony Van Gestel   +4 more
core  

Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang, Zhanbo Fang, Tianna Zhao, Duoqian Miao, Witold Pedrycz   +4 more
wiley   +1 more source

M3LoRA: Flexible Task Adaptation via Multiple Low‐Rank Matrices With Mixture‐of‐Subspaces and Minor Singular Components Initialization

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Parameter‐efficient fine‐tuning (PEFT) has become a crucial paradigm for domain adaptation, achieving strong performance by updating only a small fraction of model parameters. Among various PEFT methods, low‐rank adaptation (LoRA) is widely adopted due to its structural simplicity and computational efficiency.
Xu Luo, Yongbin Liu, Chunping Ouyang, Ying Yu, Yang Yang   +4 more
wiley   +1 more source

A user centric group authentication scheme for secure communication. [PDF]

Sci Rep
Gerenli O, Karabulut-Kurt G, Ozdemir E.
europepmc   +1 more source