Results 71 to 80 of about 3,041 (214)
Computing feature matrices using PCA-SVD hybrid method on small-scale systems
Tạp chí Khoa học và Công nghệThe task of performing feature extraction from input matrices is a well-known problem in biometric recognition. This paper aims to develop an effective method for reduction and decomposition on large matrices with low required computational resources and
Le Tien Hung +3 more
doaj +1 more source
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
Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark
Algorithms, 2020 At the dawn of the 10V or big data data era, there are a considerable number of sources such as smart phones, IoT devices, social media, smart city sensors, as well as the health care system, all of which constitute but a small portion of the data lakes ...
Athanasios Alexopoulos +4 more
doaj +1 more source
The Anatomical Record, EarlyView.Abstract This study investigated the physiological and morphological adaptations of the liver of the carnivorous fish Pygocentrus nattereri (piranha) in response to seasonal variations (dry and rainy seasons) in the Brazilian Pantanal. The objective was to describe how the liver, a central organ in metabolic regulation, responds to environmental ...
Maria Eduarda Corona Garcia +9 more
wiley +1 more source
Probabilistic matrix clustering with feature priors for unbiased control selection
Научно-технический вестник информационных технологий, механики и оптикиWe propose a probabilistic matrix-clustering method that leverages a prior distribution of features and dimensionality reduction (Singular Value Decomposition, SVD). The approach identifies, within a large control pool, a cluster statistically comparable
D. A. Usoltsev
doaj +1 more source
JGE, 2020 Oil field research in regional Banyuasin “HUF” , South Sumatra have been done by the gravity data with objective of knowing fault structure based on analysis of hydrocarbon SVD and knows hollow structure based on the 3D model of the Bouguer Anomaly and ...
Ade Setiawan, Bagus Sapto Mulyatno
doaj +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Fast approximate truncated SVD
Numerical Linear Algebra with Applications, 2019 SummaryThis paper presents a new method for the computation of truncated singular value decomposition (SVD) of an arbitrary matrix. The method can be qualified as deterministic because it does not use randomized schemes. The number of operations required is asymptotically lower than that using conventional methods for nonsymmetric matrices and is at a ...
Serge L. Shishkin +2 more
openaire +3 more sources
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Coordinate transformation parameters in Nepal by using neural network and SVD methods
Journal of Geodetic Science, 2019 The present study computes B-W extension model (extended Bursa-Wolf model) coordinate transformation parameters from World Geodetic System 1984 (WGS-84) to the Everest datum namely Everest (1830) and Everest (1956) using records of coordinate ...
Ansari Kutubuddin +3 more
doaj +1 more source