Results 21 to 30 of about 348 (147)
Purpose Detecting sound‐related activity using functional MRI requires the auditory stimulus to be more salient than the intense background scanner acoustic noise. Various strategies can reduce the impact of scanner acoustic noise, including “sparse” temporal sampling with single/clustered acquisitions providing intervals without any background scanner
Rebecca S. Dewey +3 more
wiley +1 more source
The current sprint error detection methods do not consider the analysis of the visual characteristics of sprint error, which leads to low detection accuracy, long detection time, and poor detection stability. To overcome this defect, inspired by Internet of Things technology, a real‐time sprint error detection method based on visual characteristics is ...
Hengming Chen, Junyong Li, Chi-Hua Chen
wiley +1 more source
Few‐Shot Website Fingerprinting Attack with Data Augmentation
This work introduces a novel data augmentation method for few‐shot website fingerprinting (WF) attack where only a handful of training samples per website are available for deep learning model optimization. Moving beyond earlier WF methods relying on manually‐engineered feature representations, more advanced deep learning alternatives demonstrate that ...
Mantun Chen +4 more
wiley +1 more source
In allusion to the shortcomings of traditional facial expression recognition (FER) that only uses a single feature and the recognition rate is not high, a FER method based on fusion of transformed multilevel features and improved weighted voting SVM (FTMS) is proposed.
Hao Meng +4 more
wiley +1 more source
Airport Detection‐Based Cosaliency on Remote Sensing Images
This paper proposes a contour extraction model based on cosaliency detection for remote sensing image airport detection and improves the traditional line segmentation detection (LSD) algorithm to make it more suitable for the goal of this paper. Our model consists of two parts, a cosaliency detection module and a contour extraction module. In the first
Zhen Hua +3 more
wiley +1 more source
CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH [PDF]
Since many years ago, the scientific community is concerned about how to increase the accuracy of different classification methods, and major achievements have been made so far.
V. A. Ayma +7 more
doaj +1 more source
Rendering-Oriented Decoding for a Distributed Multiview Coding System Using a Coset Code
This paper discusses a system in which multiview images are captured and encoded in a distributed fashion and a viewer synthesizes a novel image from this data.
Yuichi Taguchi, Takeshi Naemura
doaj +2 more sources
Análise baseada em objeto para mapeamento do uso do solo urbano utilizando os pacotes de software InterIMAGE e SIPINA [PDF]
Apresentamos neste trabalho um método para o mapeamento do uso do solo urbano, implementado com duas ferramentas de código aberto: SIPINA, um pacote de software de mineração de dados; e o InterIMAGE, um sistema de análise de imagens de sensoriamento ...
Bias, Edilson de Sousa +3 more
core +1 more source
A automatização do monitoramento e fiscalização do uso e cobertura do solo em projetos de assentamento do Instituto Nacional de Colonização e Reforma Agrária (INCRA) utilizando sensoriamento remoto e técnicas de geoprocessamento podem otimizar, reduzir ...
Ramon Chaves de Araújo +3 more
doaj +1 more source
OBJECT-BASED IMAGE ANALYSIS OF WORLDVIEW-2 SATELLITE DATA FOR THE CLASSIFICATION OF MANGROVE AREAS IN THE CITY OF SÃO LUÍS, MARANHÃO STATE, BRAZIL [PDF]
Taking into account the importance of mangrove environments for the biodiversity of coastal areas, the objective of this paper is to classify the different types of irregular human occupation on the areas of mangrove vegetation in São Luis, capital of ...
H. J. H. Kux, U. D. V. Souza
doaj +1 more source

