Results 121 to 130 of about 121,348 (314)

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

Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix

open access: diamond, 2020
Sihang Zhou   +8 more
openalex   +2 more sources

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

Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents an adaptive formation control method for a heterogeneous robot swarm, utilising a multilevel formation task tree to model various types of formation tasks and a single‐state distributed k‐winner‐take‐all (S‐DKWTA) algorithm to address the MRTA problem.
Zhenghui Cui, Xiaoyi Gu, Ning Tan
wiley   +1 more source

Errors in reconstruction of dichroic X‐ray orientation tomography due to polarization rotation of the incident beam

open access: yesJournal of Synchrotron Radiation, EarlyView.
Linear dichroic X‐ray tomography is a technique in which the linear dichroism of anisotropic materials is used to image crystal orientation in three dimensions. We show that the reconstruction of tomograms is subject to errors due to the change in polarization on propagation through the material and propose strategies for mitigating these effects ...
Matthew A. Marcus   +3 more
wiley   +1 more source

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti   +14 more
wiley   +1 more source

Quantifying functionally equivalent species and ecological network dissimilarity with optimal transport distances

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Quantifying the structure and dynamics of species interactions in ecological communities is fundamental to studying ecology and evolution. While there are numerous approaches to analysing ecological networks, there is not yet an approach that can (1) quantify dissimilarity in the global structure of ecological networks that range from ...
Kai M. Hung   +4 more
wiley   +1 more source

What is a proper graph Laplacian? An operator-theoretic framework for graph diffusion

open access: yesSpecial Matrices
We introduce an operator-theoretic definition of a proper graph Laplacian as any matrix associated with a given graph that can be expressed as the composition of a divergence and a gradient operator, with the gradient acting between graph-related spaces ...
Estrada Ernesto
doaj   +1 more source

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