Results 151 to 160 of about 513,547 (285)
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
American Journal of Botany, EarlyView.Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source
Minimax-optimal privacy-preserving sparse PCA in distributed systems
, 2018 Copyright 2018 by the author(s). This paper proposes a distributed privacy-preserving sparse PCA (DPS-PCA) algorithm that generates a minimax-optimal sparse PCA estimator under differential privacy constraints.
Liu, Han +3 more
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The Anatomical Record, EarlyView.Abstract Analysis of the variation in the bony structures of the inner and middle ear provides critical insights into functional morphology, as well as adaptive morphology across primates. In this study, we investigated whether ear morphology patterns are related to the ecological characteristics of species and their habitats to test two acoustic ...
Myriam Marsot +4 more
wiley +1 more source
Compressive Sensing for PAN-Sharpening [PDF]
, 2011 Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1].
Bamler, Richard +3 more
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Morphological adaptations of cervical vertebrae in plunge‐diving sulids
The Anatomical Record, EarlyView.Abstract Foraging strategy frequently drives morphological diversification in birds. The plunge‐diving behavior of certain species makes the functional and ecological trade‐offs of variation in cervical vertebrae an especially intriguing question. This study compares cervical vertebrae across five plunge‐diving species and two non‐plunge‐diving species,
Megan L. Vandenberg +5 more
wiley +1 more source
Sparse PCA Extracting Multi-scale Structure from Data
, 2008 Sparse Principal Component Analysis (S-PCA) is a novel framework for learning a linear, orthonormal basis representation for structure intrinsic to an ensemble of images.
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Archaeological Prospection, EarlyView.ABSTRACT The Roman city of Doclea is a key archaeological site of Montenegro, valued for its impressive remains and its role in the nation's cultural identity within European and the Mediterranean history. Doclea was the second‐largest city in the province of Roman Dalmatia, a municipium created in the first century ad and named after the Illyrian ...
Tatjana Koprivica +5 more
wiley +1 more source
Arthritis &Rheumatology, Accepted Article.Objective Tissue‐resident memory T (TRM) cells have been implicated in organ‐specific immune pathology; however, the pathological relevance of TRM‐like CD8+ T cells in systemic lupus erythematosus (SLE) remains unclear. We investigated their differentiation mechanisms and pathological significance in SLE, including associations with disease activity ...
Yuya Fujita +10 more
wiley +1 more source
Principal Component‐Based Classification of Blazar Candidates of Uncertain Type in the 4FGL/LAT
Astronomische Nachrichten, EarlyView.ABSTRACT We adopted principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machines (SVM), to study classification for a sample of 2708 Fermi blazars: 1142 BL Lac objects (BLLs), 759 flat spectrum radio quasars (FSRQs), and 807 blazar candidates of uncertain type (BCUs).
Wen‐Xin Yang +13 more
wiley +1 more source
Robust Visual Tracking Via Online Low-rank Sparse Representation
工程科学与技术, 2017 :The gray value features of images were used to describe targets in robust visual tracking via L1 minimization (L1 tracking algorithm).However,the ignorance of structural information between the templates and inaccurate modeling of target appearance ...
孔繁锵 +4 more
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