Results 41 to 50 of about 955,306 (131)
Advanced Intelligent Systems, Volume 8, Issue 2, February 2026.Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
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Almost Optimal Explicit Johnson-Lindenstrauss Families [PDF]
, 2015 The Johnson-Lindenstrauss lemma is a fundamental result in probability with several applications in the design and analysis of algorithms. Constructions of linear embeddings satisfying the Johnson Lindenstrauss property necessarily involve randomness and
Kane, Daniel +2 more
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Real‐Time Inland CCTV Ship Tracking
Mathematical Problems in Engineering, Volume 2018, Issue 1, 2018., 2018 The predator algorithm is a representative pioneering work that achieves state‐of‐the‐art performance on several popular visual tracking benchmarks and with great success when commercially applied to real‐time face tracking in long‐term unconstrained videos.
Lei Xiao +3 more
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The domination theorem for operator classes generated by Orlicz spaces
Mathematische Nachrichten, Volume 298, Issue 11, Page 3576-3598, November 2025.Abstract We study lattice summing operators between Banach spaces focusing on two classes, ℓφ$\ell _\varphi$‐summing and strongly φ$\varphi$‐summing operators, which are generated by Orlicz sequence lattices ℓφ$\ell _\varphi$. For the class of strongly φ$\varphi$‐summing operators, we prove the domination theorem, which complements Pietsch's ...
D. L. Fernandez +3 more
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Distributed Compressive Video Sensing with Mixed Multihypothesis Prediction
Mathematical Problems in Engineering, Volume 2018, Issue 1, 2018., 2018 Traditional video acquisition systems require complex data compression at the encoder, which makes them unacceptable for resource‐limited applications such as wireless multimedia sensor networks (WMSNs). To address this problem, distributed compressive video sensing (DCVS) represents a novel sensing approach with a simple encoder.
Chao Zhou +4 more
wiley +1 more source
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
CoRRThe Johnson-Lindenstrauss (JL) lemma is a cornerstone of dimensionality reduction in Euclidean space, but its applicability to non-Euclidean data has remained limited. This paper extends the JL lemma beyond Euclidean geometry to handle general dissimilarity matrices that are prevalent in real-world applications. We present two complementary approaches:
Chengyuan Deng +4 more
openaire +3 more sources
Stabilized Krylov Subspace Recurrences via Randomized Sketching
Numerical Linear Algebra with Applications, Volume 32, Issue 3, June 2025.ABSTRACT Recurrences building orthonormal bases for polynomial Krylov spaces have been classically used for approximation purposes in various numerical linear algebra contexts. Variants aiming to limit memory and computational costs by using truncated recurrences often have convergence constraints.
Valeria Simoncini, YiHong Wang
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Detecting Interactions in High‐Dimensional Data Using Cross Leverage Scores
Biometrical Journal, Volume 66, Issue 8, December 2024.ABSTRACT We develop a variable selection method for interactions in regression models on large data in the context of genetics. The method is intended for investigating the influence of single‐nucleotide polymorphisms (SNPs) and their interactions on health outcomes, which is a p≫n$p\gg n$ problem.
Sven Teschke +2 more
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IET Networks, Volume 13, Issue 5-6, Page 513-527, September-November 2024.An unsupervised ensemble model for the detection of the distributed denial of service attacks in Internet of Things systems. Abstract The authors introduce an unsupervised Intrusion Detection System designed to detect zero‐day distributed denial of service (DDoS) attacks in Internet of Things (IoT) networks.
Monika Roopak +5 more
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Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements [PDF]
, 2016 In an increasingly data-driven society, there is a growing need to simplify high-dimensional data sets. Over the course of the past three decades, the Johnson and Lindenstrauss (JL) lemma has evolved from a highly abstract mathematical result into a ...
Fedoruk, John P
core +1 more source