Autoencoding-Assisted Quantum Cloning Machine. [PDF]
Beh QJ +4 more
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
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 +5 more
wiley +1 more source
Active subspace learning for coarse-grained molecular dynamics. [PDF]
Wojnar A, Pankavich S, Pak AJ.
europepmc +1 more source
Information Retrieval Using Krylov Subspace Methods
In this dissertation we discuss how simple Krylov subspace methods can be used for information retrieval (IR). The dissertation consists of two parts.
Blom, Katarina
core
Boosted unsupervised feature selection for tumor gene expression profiles
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 +5 more
wiley +1 more source
Selected Configuration Interaction Using Time-Evolved Population Statistics. [PDF]
Weaving T +3 more
europepmc +1 more source
Two-Dimensional DOA Estimation of Coherent Sources Based on Uniform Linear Electromagnetic Vector Sensor Array. [PDF]
Zhang J, Lan X, Wang X.
europepmc +1 more source
Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
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 +4 more
wiley +1 more source
Water/Fat Separated Echo Planar Time-Resolved Imaging (WFS-EPTI) for Distortion-Free Multi-Contrast MRI. [PDF]
Hu Z +5 more
europepmc +1 more source
Vertical Deformation Mapping: Steering Optimiser Toward Flat Minima
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 +4 more
wiley +1 more source

