Results 11 to 20 of about 2,982,469 (235)

Summer aridity rather than management shapes fitness‐related functional traits of the threatened mountain plant Arnica montana

open access: yesEcology and Evolution, 2020
Semi‐natural mountain grasslands are increasingly exposed to environmental stress under climate change. However, which are the environmental factors that limit plants in these grasslands?
Nils Stanik   +2 more
doaj   +1 more source

Efficient Deep Learning Network With Multi-Streams for Android Malware Family Classification

open access: yesIEEE Access, 2022
It is important to effectively detect, mitigate, and defend against Android malware attacks, because Android malware has long represented a major threat to Android app security.
Hyun-Il Kim   +3 more
doaj   +1 more source

Structural boundary and deep contact relationship between the Yangtze and Cathaysia Blocks from crustal thickness gradients

open access: yesFrontiers in Earth Science, 2023
The deep boundary and contact relationship between the Yangtze and Cathaysia Blocks (the major tectonic units of the Southern China Block), as well as the tectonic attributes of the Jiangnan Orogenic Belt, have remained unknown or controversial.
Rubing Han   +7 more
doaj   +1 more source

Achieving the fundamental convergence-communication tradeoff with Differentially Quantized Gradient Descent [PDF]

open access: yes, 2020
The problem of reducing the communication cost in distributed training through gradient quantization is considered. For gradient descent on smooth and strongly convex objective functions on R^n, we characterize the fundamental rate function-the minimum ...
Hassibi, Babak   +2 more
core   +1 more source

Cultivated Land Information Extraction and Gradient Analysis for a North-South Transect in Northeast Asia between 2000 and 2010

open access: yesRemote Sensing, 2014
Cultivated land resources are an important basis of regional sustainability; thus, it is important to determine the distribution of the cultivated land in the Northeast Asia trans-boundary area of China, Russia and Mongolia, which has a continuous ...
Juanle Wang   +4 more
doaj   +1 more source

Analysis of Natural Gradient Descent for Multilayer Neural Networks [PDF]

open access: yes, 1999
Natural gradient descent is a principled method for adapting the parameters of a statistical model on-line using an underlying Riemannian parameter space to redefine the direction of steepest descent.
Rattray, Magnus, Saad, David
core   +2 more sources

Seasonal variability of thermal fronts in the Southwestern Arafura Sea in El Niño dan La Niña [PDF]

open access: yesBIO Web of Conferences
Sea surface temperature (SST) thermal fronts in eastern Indonesian waters are strongly modulated by monsoonal winds and regional interactions. Previous studies have mainly focused on the northern Arafura Sea and the Banda Sea, where strong upwelling and ...
Hanifah Nabila N.   +3 more
doaj   +1 more source

Spatiotemporal Analysis of Urban Growth Using GIS and Remote Sensing: A Case Study of the Colombo Metropolitan Area, Sri Lanka

open access: yesISPRS International Journal of Geo-Information, 2016
Understanding urban growth spatiotemporally is important for landscape and urban development planning. In this study, we examined the spatiotemporal pattern of urban growth of the Colombo Metropolitan Area (CMA)—Sri Lanka’s only metropolitan area—from ...
Shyamantha Subasinghe   +2 more
doaj   +1 more source

Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains [PDF]

open access: yes, 2018
We consider the minimization of an objective function given access to unbiased estimates of its gradient through stochastic gradient descent (SGD) with constant step-size. While the detailed analysis was only performed for quadratic functions, we provide
Bach, Francis   +2 more
core   +3 more sources

Range estimation from Intensity Gradient Analysis [PDF]

open access: yesMachine Vision and Applications, 1989
The authors have developed a depth-recovery technique that completely avoids the computationally intensive steps of feature selection and correspondence required by conventional approaches. The intensity gradient analysis (IGA) technique is a depth-recovery algorithm that utilizes the properties of the MCSO (moving camera, stationary objects) scenario.
Jain, Ramesh C., Skifstad, Kurt D.
openaire   +2 more sources

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