A Robust Information Source Estimator with Sparse Observations [PDF]
, 2013 In this paper, we consider the problem of locating the information source with sparse observations. We assume that a piece of information spreads in a network following a heterogeneous susceptible-infected-recovered (SIR) model and that a small subset of
Ying, Lei, Zhu, Kai
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Image Data Augmentation for SAR Sensor via Generative Adversarial Nets
IEEE Access, 2019 As a mission-critical sensor, SAR has been applied in environmental monitoring and battlefield surveillance; moreover, SAR target recognition is one of the most important applications of SAR technology.
Zongyong Cui +3 more
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A feature extraction method for small sample data based on optimal ensemble random forest
Xibei Gongye Daxue Xuebao, 2022 High dimensional small sample data is the difficulty of data mining. When using the traditional random forest algorithm for feature selection, it is to have the poor stability and low accuracy of feature importance ranking caused by over fitting of ...
ZHANG Wei, ZHANG Haochen
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New statistical high power test, obtained by differentiating random data of a small sample
Известия высших учебных заведений. Поволжский регион:Технические науки, 2021 Background. The research considers the problem of statistical analysis of small samples by synthesizing new statistical criteria. Materials and methods.
A.I. Ivanov +2 more
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Maximum Likelihood Estimation for Linear Gaussian Covariance Models [PDF]
, 2016 We study parameter estimation in linear Gaussian covariance models, which are $p$-dimensional Gaussian models with linear constraints on the covariance matrix.
Richards, Donald +2 more
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Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm [PDF]
, 2006 In recent years, a variety of relevance feedback (RF) schemes have been developed to improve the performance of content-based image retrieval (CBIR). Given user feedback information, the key to a RF scheme is how to select a subset of image features to ...
Dacheng Tao +6 more
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String Matching: Communication, Circuits, and Learning [PDF]
, 2019 String matching is the problem of deciding whether a given n-bit string contains a given k-bit pattern. We study the complexity of this problem in three settings. - Communication complexity. For small k, we provide near-optimal upper and lower bounds on
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Recursive Aggregation of Estimators by Mirror Descent Algorithm with Averaging [PDF]
, 2005 We consider a recursive algorithm to construct an aggregated estimator from a finite number of base decision rules in the classification problem. The estimator approximately minimizes a convex risk functional under the l1-constraint.
Juditsky, Anatoli +3 more
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Time Series Data Generation Method with High Reliability Based on ACGAN
EntropyIn the process of big data processing, especially in fields like industrial fault diagnosis, there is often the issue of small sample sizes. The data generation method based on Generative Adversarial Networks(GANs) is an effective way to solve this ...
Fang Liu, Yuxin Li, Yuanfang Zheng
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Route Planning for Military Ground Vehicles in Road Networks under Uncertain Battlefield Environment
Journal of Advanced Transportation, 2018 Route planning for military ground vehicles in the uncertain battlefield is a special kind of route planning problem, as the military vehicles face a great of uncertain and unpredicted attacks. This paper models these uncertainties in the road network by
Tan Zhao +3 more
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