Search Results - "Zhu, Guokang"
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Hyperspectral Band Selection by Multitask Sparsity Pursuit
Published in IEEE transactions on geoscience and remote sensing (01-02-2015)“…Hyperspectral images have been proved to be effective for a wide range of applications; however, the large volume and redundant information also bring a lot of…”
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Unsupervised Hyperspectral Band Selection by Dominant Set Extraction
Published in IEEE transactions on geoscience and remote sensing (01-01-2016)“…Unsupervised hyperspectral band selection has been an important topic in hyperspectral imagery. This technique aims at selecting some critical and decisive…”
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Fast Hyperspectral Anomaly Detection via High-Order 2-D Crossing Filter
Published in IEEE transactions on geoscience and remote sensing (01-02-2015)“…Anomaly detection has been an important topic in hyperspectral image analysis. This technique is sometimes more preferable than the supervised target detection…”
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Hyperspectral Band Selection via Rank Minimization
Published in IEEE geoscience and remote sensing letters (01-12-2017)“…Band selection is an important preprocessing technique for hyperspectral imagery, through which a subset of critical and representative spectral bands can be…”
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Learning Saliency by MRF and Differential Threshold
Published in IEEE transactions on cybernetics (01-12-2013)“…Saliency detection has been an attractive topic in recent years. The reliable detection of saliency can help a lot of useful processing without prior knowledge…”
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SIFT on manifold: An intrinsic description
Published in Neurocomputing (Amsterdam) (03-08-2013)“…Scale Invariant Feature Transform is a widely used image descriptor, which is distinctive and robust in real-world applications. However, the high…”
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NATAS: Neural Activity Trace Aware Saliency
Published in IEEE transactions on cybernetics (01-07-2014)“…Saliency detection has raised much interest in computer vision recently. Many visual saliency models have been developed for individual images, video clips,…”
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Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19
Published in Discrete dynamics in nature and society (05-05-2020)“…The coronavirus disease 2019 (COVID-19) pandemic has triggered a new response involving public health surveillance. The popularity of personal wearable devices…”
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A paralleled CNN and Transformer network for PPG-based cuff-less blood pressure estimation
Published in Biomedical signal processing and control (01-01-2025)“…Cuff-less blood pressure measurement plays a pivotal part in hypertension diagnosis and prevention. By employing deep learning algorithms, blood pressure…”
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Tag-Saliency: Combining bottom-up and top-down information for saliency detection
Published in Computer vision and image understanding (01-01-2014)“…•Integrate auto-tagging in saliency detection to label large scale multimedia data.•Combine low-level and high-level information in a uniformed saliency…”
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Multi-spectral dataset and its application in saliency detection
Published in Computer vision and image understanding (01-12-2013)“…•A multi-spectral dataset is constructed containing RGB and near-infrared images.•The incorporation of near-infrared is proved to be valuable for saliency…”
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Learning from Large-Scale Wearable Device Data for Predicting Epidemics Trend of COVID-19
Published in Discrete dynamics in nature and society (31-05-2020)“…The coronavirus disease 2019 (COVID-19) pandemic has triggered a new response involving public health surveillance. The popularity of personal wearable devices…”
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Statistical quantization for similarity search
Published in Computer vision and image understanding (01-07-2014)“…•Formulate a k-means hashing model based on generalized likelihood ratio analysis.•Introduce statistical analysis into the out-of-sample extension of…”
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Robust K-means algorithm with automatically splitting and merging clusters and its applications for surveillance data
Published in Multimedia tools and applications (01-10-2016)“…With the pervasive of the definition of the smart city, the data volume of the surveillance system, huge number of video surveillance devices is now rapidly…”
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A remote sensing image classification method based on sparse representation
Published in Multimedia tools and applications (01-10-2016)“…With the development of remote sensing image applications, sparse-based representation classification approaches have been investigated for better…”
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Probability density function solution to nonlinear ship roll motion excited by external Poisson white noise
Published in Science China Technological Sciences (01-05-2011)“…The stationary probability density function (PDF) solution to nonlinear ship roll motion excited by Poisson white noise is analyzed. Subjected to such random…”
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