Results 11 to 20 of about 9,285,371 (201)
Applied Sciences, 2022 Machine reading comprehension (MRC) is an important research topic in the field of Natural Language Processing (NLP). However, traditional MRC models often face challenges of information loss, lack of capability to retain long-distance dependence, and ...
Nawei Shi +2 more
doaj +3 more sources
Estimasi Citra Kedalaman Dengan Conditional Random Field (CRF) dan Structured Support Vector Machine (SSVM) [PDF]
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2017 Autonomous UAVs typically require systems capable of mapping (segmenting) the region of a colored image. Regional segmentation will be used to determine the existence of obstacles.
Muhammad Rachmadi, Derry Alamsyah
doaj +4 more sources
MULTI-SOURCE MULTI-SCALE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR REMOTE SENSING IMAGE CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Fusion of remote sensing images and LiDAR data provides complimentary information for the remote sensing applications, such as object classification and recognition.
Z. Zhang, M. Y. Yang, M. Zhou
doaj +4 more sources
A METHOD TO ESTIMATE TEMPORAL INTERACTION IN A CONDITIONAL RANDOM FIELD BASED APPROACH FOR CROP RECOGNITION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper presents a method to estimate the temporal interaction in a Conditional Random Field (CRF) based approach for crop recognition from multitemporal remote sensing image sequences.
P. M. A. Diaz +4 more
doaj +2 more sources
Applied SciencesConventional unconditional random field (URF) models were shown to neglect in-situ monitoring data and thus misrepresent real slope stability. To address this, a conditional random field (CRF) generator was proposed, in which Fast Fourier Transform (FFT)
Xin Dong +7 more
doaj +2 more sources
A Conditional Random Field Approach to Unsupervised Texture Image Segmentation [PDF]
EURASIP Journal on Advances in Signal Processing, 2010 An unsupervised multiresolution conditional random field (CRF) approach to texture segmentation problems is introduced. This approach involves local and long-range information in the CRF neighbourhood to determine the classes of image blocks.
Li Chang-Tsun
doaj +2 more sources
S3CRF: Sparse Spatial-Spectral Conditional Random Field Target Detection Framework for Airborne Hyperspectral Data [PDF]
IEEE Access, 2020 Airborne hyperspectral data have both high spectral and spatial resolutions. Although the finer spatial resolution allows more abundant spatial characteristics to be exhibited, the spectral variability problem remains. However, few of the current spatial-
Shaoyu Wang +4 more
doaj +2 more sources
Sign Language Recognition with the Kinect Sensor Based on Conditional Random Fields
Sensors, 2014 Sign language is a visual language used by deaf people. One difficulty of sign language recognition is that sign instances of vary in both motion and shape in three-dimensional (3D) space. In this research, we use 3D depth information from hand motions,
Hee-Deok Yang
doaj +2 more sources
Linguamática, 2014 Conditional Random Fields (CRF) é um método probabilístico de predição estruturada que tem sido amplamente aplicado em diversas áreas, tais como a de Processamento da Linguagem Natural (PLN), incluindo o Reconhecimento de Entidades Nomeadas (REN), visão computacional e bioinformática.
Daniela Oliveira F. do Amaral +1 more
openaire +3 more sources
An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source