Results 181 to 190 of about 37,640 (313)

Hebbian learning subspace method: A new approach

, 1997
In this paper, we propose a new learning (SPRM) called the Hebbian Learning Subspace Method (HLSM). It uses the notion of a weighted squared orthogonal projection distance winch gives different weightages to different basis vectors in the computation of ...
Murty, Narasimha M, Prakash, M
core  

Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function. [PDF]

Imaging Neurosci (Camb)
Li X, Kochunov P, Adali T, Silva RF, Calhoun VD.   +4 more
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

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

Direct Cardiac T1 Mapping with Subspace Modeling and Free-breathing Data Acquisition. [PDF]

IEEE Trans Biomed Eng
Marin T, Han PK, Szezurek D, Zhuo Y, Mounime I, Djebra Y, Lee W, Fakhri GE, Ma C.   +8 more
europepmc   +1 more source

Efficient Techniques Based on Sparse Representation for Classifying High-dimensional Multiclass Microarray Data. [PDF]

J Med Signals Sens
Miri M, Sadeghi MT, Abootalebi V.
europepmc   +1 more source

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

Two-Dimensional DOA Estimation of Coherent Sources Based on Uniform Linear Electromagnetic Vector Sensor Array. [PDF]

Sensors (Basel)
Zhang J, Lan X, Wang X.
europepmc   +1 more source

Vertical Deformation Mapping: Steering Optimiser Toward Flat Minima

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Standard deep learning optimisation is typically conducted on shape‐fixed loss surfaces. However, shape‐fixed loss surfaces may impede optimisers from reaching flat regions closely associated with strong generalisation. In this work, we propose a new paradigm named deformation mapping to deform the loss surface during optimisation.
Liangming Chen, Longbang Wang, Man‐Fai Leung, Jianfeng Li, Long Jin   +4 more
wiley   +1 more source

Gated subspace alignment with drift compensation for parameter-efficient Class-Incremental Learning. [PDF]

PLoS One
Gu J, Huang S, Li T, Zhang S, Li M.
europepmc   +1 more source