Results 151 to 160 of about 541,400 (289)
Goodness‐of‐Fit Tests for Positive Quadrant Dependence
International Statistical Review, EarlyView.Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley +1 more source
Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. [PDF]
Sensors (Basel), 2020 Zhang P +6 more
europepmc +1 more source
Teleosemantics for neural word embeddings
Mind &Language, EarlyView.This paper applies a consumer‐based teleosemantic framework to give a detailed analysis of a particular algorithm for generating word embeddings. In the process, it addresses several of the challenges facing teleosemantic approaches to artificial neural networks.
Fintan Mallory
wiley +1 more source
Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, subspace clustering has become increasingly popular and achieved great success in band selection (BS) of hyperspectral imagery. However, current subspace clustering approaches are mostly insufficient in capturing the fine spatial ...
Yujie Guo +4 more
doaj +1 more source
Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm. [PDF]
Comput Math Methods Med, 2020 Liu L, Kuang L, Ji Y.
europepmc +1 more source
Evaluating subspace clustering algorithms
, 2004 Clustering techniques often define the similarity between instances using distance measures over the various dimensions of the data [12, 14]. Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces
Lance Parsons
core
The Journal of Physiology, EarlyView.Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti +2 more
wiley +1 more source
Differentially Private Subspace Clustering [PDF]
, 2015 Subspace clustering is an unsupervised learning problem that aims at grouping data points into multiple “clusters ” so that data points in a single cluster lie ap-proximately on a low-dimensional linear subspace.
Aarti Singh +5 more
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Analytical Science Advances, Volume 7, Issue 2, December 2026.ABSTRACT This study presents a sustainable chemometric‐assisted UV spectrophotometric strategy for the simultaneous determination of candesartan cilexetil (CAN), chlorthalidone (CTL) and amlodipine (AML) in laboratory‐prepared mixtures and commercial pharmaceutical formulations.
Khanda F. M. Amin +3 more
wiley +1 more source
Matched direction detectors and estimators for array processing with subspace steering vector uncertainties [PDF]
, 2005 In this paper, we consider the problem of estimating and detecting a signal whose associated spatial signature is known to lie in a given linear subspace but whose coordinates in this subspace are otherwise unknown, in the presence of subspace ...
Besson, Olivier +2 more
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