Results 81 to 90 of about 1,643 (192)

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

Extended Arimoto-Blahut Algorithms for Bistatic Integrated Sensing and Communications Systems. [PDF]

Entropy (Basel)
Jiao T, Geng Y, Wei Z, Yang Z.
europepmc   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li, Longbang Wang, Jiexing Li, Jicheng Li   +3 more
wiley   +1 more source

Improving SVM performance through data reduction and misclassification analysis with linear programming. [PDF]

Complex Intell Systems
Suárez CA, Castro M, Leon M, Martin-Barreiro C, Liut M.   +4 more
europepmc   +1 more source

Paired CycleGAN‐based virtual staining for 3D X‐ray histology of bone‐implant systems

Journal of Synchrotron Radiation, EarlyView.
This work demonstrates virtual staining for 3D X‐ray histology using a modified CycleGAN trained on paired synchrotron radiation microtomography (SR‐µCT) and histology images of bone‐implant specimens. The method enables the generation of artificially coloured contrast resembling conventional histological staining from label‐free SR‐µCT data and is ...
Sarah C. Irvine, Christian Lucas, Diana Krüger, Bianca C. Guedert, Julian Moosmann, Berit Zeller-Plumhoff   +5 more
wiley   +1 more source

Analysis of Influencing Factors in Quantum Chemistry Simulation Based on VQE Algorithm. [PDF]

Entropy (Basel)
Zhang M, Kang J, Wu Q, Han B.
europepmc   +1 more source

The Swanscombe fossil at 90: revisiting its phylogeny, taxonomy, and place in human origins Le fossile de Swanscombe, 90 ans après : retour sur sa place phylogénique, taxonomique et dans les origines de l'humanité

Journal of the Royal Anthropological Institute, EarlyView.
The year 2025 marked the ninetieth since a fossil hominin occipital bone was discovered in Swanscombe, southeast England. In subsequent years, its parietal bones were found, producing what remains the oldest partial cranium from Britain today. In the earliest analyses, it was interpreted as a descendant of the infamous fraudulent fossil Piltdown Man ...
Emma E. Bird, Chris Stringer
wiley   +1 more source

Cooperation: Behavioral manifestations and neural mechanisms. [PDF]

Curr Opin Neurobiol
Jiang M, Chang SWC, Hong W.
europepmc   +1 more source

Approximating multidimensionality with asymmetric unidimensional IRT models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao, Yinqiu He, Daniel Bolt, James Soland, Carlin Conner, Emily J. Solari   +5 more
wiley   +1 more source

RISE-VIO: Robust Initialization and Targeted Pose Robustification for INS-Centric Visual-Inertial Odometry Under Degraded Visual Conditions. [PDF]

Sensors (Basel)
Xu X, Ju R, Jiao W, Li L.
europepmc   +1 more source