Results 141 to 150 of about 720,784 (299)

Robust Multi-class Graph Transduction with higher order regularization

, 2015
Graph transduction refers to a family of algorithms that learn from both labeled and unlabeled examples using a weighted graph and scarce label information via regularization or label propagation.
Batista, Gustavo Enrique de Almeida Prado Alves, Sousa, Celso Andre Rodrigues de   +1 more
core   +1 more source

Non‐Invasive Assessment of Perineural Invasion Density: A Novel Marker for Prognosis and Treatment Stratification in Prostate Cancer

Advanced Science, EarlyView.
This study establishes perineural invasion density (PNID) as a superior prognostic marker in prostate cancer, outperforming conventional perineural invasion in predicting biochemical recurrence and radiographic progression. Concurrent β–blocker use is associated with favorable outcomes exclusively in High–PNID patients. An MRI–based deep learning model
Bohao Liu, Long Zhang, Weian Zhu, Meng Yang, Xiang Liu, Xiaoyang Li, Peng Qin, Zhengxu Lin, Qian Cai, Jiayu Zheng, Xiao Zhao, Chen Zou, Xuan Wen, Longhao Xu, Daqin Wu, Lin Zhang, Cuilian Zhang, Kaiwen Li, Chunhui Wang, Wenlong Zhong, Yun Luo   +20 more
wiley   +1 more source

Low-rank matrix and tensor completion using graph-based regularization

, 2021
Matrix and tensor completion arise in many different real-world applications related to the inference or acquisition of data. In this thesis, we investigate matrix and tensor completion in the aspects of models, algorithms and regularization.
Dong, Shuyu
core  

STRIDE: A Sequencing Depth Robust Metric for Sparse Chromosome Conformation Capture Data Comparison

Advanced Science, EarlyView.
A mean first passage time (MFPT)‐based representation transforms sparse Hi‐C contact maps into robust topological representations, preserving biologically meaningful chromatin features and facilitating robust analysis of TADs, chromatin loops, differential chromatin contacts, and sparse single‐cell Hi‐C data.
Bingxiang Xu, Xiaomeng Gao, Weichu Tao, Zhihua Zhang, Feifei Li   +4 more
wiley   +1 more source

GReAT: A Graph Regularized Adversarial Training Method

IEEE Access
This paper presents GReAT (Graph Regularized Adversarial Training), a novel regularization method designed to enhance the robust classification performance of deep learning models.
Samet Bayram, Kenneth Barner
doaj   +1 more source

Graph Regularized PCA

CoRR
Multivariate data often exhibit complex dependencies that violate the assumption of isotropic residual noise. For such cases, we introduce Graph Regularized PCA (GR-PCA). It is a graph-based regularization of PCA that incorporates the dependency structure of the data features by learning a sparse precision graph and biasing loadings toward the low ...
Antonio Briola, Marwin Schmidt, Fabio Caccioli, Carlos Ros Perez, James Singleton, Christian Michler, Tomaso Aste   +6 more
openaire   +3 more sources

The effect of regularization in graph learning for the kere two-sample problem.

The effect of regularization in graph learning for the kere two-sample problem.
Ragnar L. Gudmundarson (18388657), Gareth W. Peters (4479340)   +1 more
core   +1 more source

ReLink: Reliable Deep Learning for Microscopic Motion Tracking

Advanced Science, EarlyView.
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang, Xiaochen Feng, Hongda Wei, Hao Sha, Hongpeng Wang, Min Zhang, Sanyang Han, Yongbing Zhang   +7 more
wiley   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Blind Remote Sensing Image Deblurring Based on Local Maximum High-Frequency Coefficient Prior and Graph Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In satellite remote sensing imaging, factors such as optical axis shift, image plane jitter, movement of the target object, and Earth's rotation can induce image blur.
Zhidan Cai, Ming Fang, Zhe Li, Jinyi Ming, Huimin Wang   +4 more
doaj   +1 more source