Results 201 to 210 of about 19,135,649 (331)

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI 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   +5 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

open access: yesCAAI 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   +5 more
wiley   +1 more source

Laplacian attention: A plug‐and‐play algorithm without increasing model complexity for vision tasks

open access: yesCAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 545-556, April 2025.
Abstract Most prevailing attention mechanism modules in contemporary research are convolution‐based modules, and while these modules contribute to enhancing the accuracy of deep learning networks in visual tasks, they concurrently augment the overall model complexity.
Xiaolei Chen, Yubing Lu, Runyu Wen
wiley   +1 more source

An object detection algorithm based on deep learning and salient feature fusion for roadside surveillance camera

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In intelligent transportation systems, object detection for a surveillance video is one of the important functions. The performance of existing surveillance video object detection algorithms is affected by the conflict between the features of the objects, which leads to a decline in precision.
Yang He   +5 more
wiley   +1 more source

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