Results 31 to 40 of about 17,118 (185)
Discriminative methods for classification of asynchronous imaginary motor tasks from EEG data [PDF]
, 2012 In this work, two methods based on statistical models that take into account the temporal changes in the electroencephalographic (EEG) signal are proposed for asynchronous brain-computer interfaces (BCI) based on imaginary motor tasks. Unlike the current
Cetin, Mujdat +2 more
core +1 more source
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 +1 more source
Named Entitiy Recognition Method for Laotian in Military Field Combining CRF and Rules [PDF]
Jisuanji gongcheng, 2020 To address the problems of inaccurate formulation and incomplete coverage of existing methods for Laotian Named Entity Recognition(NER) in the military field,this paper proposes a method combining Conditional Random Field(CRF) and rules.By analyzing the ...
HE Yangyu, YAN Lei, YI Mianzhu, LI Hongxin
doaj +1 more source
Online Context-based Object Recognition for Mobile Robots [PDF]
, 2017 This work proposes a robotic object recognition system that takes advantage of the contextual information latent in human-like environments in an online fashion. To fully leverage context, it is needed perceptual information from (at least) a portion
Galindo, Cipriano +4 more
core +1 more source
International Journal of Information Technologies and Systems Approach, 2023 International projects are often realized through the bidding process, but the existence of information exchange barriers in different countries leads to a complex and tedious bidding process. In this paper, the authors study the complex problem of reading bidding documents, combine the artificial intelligence to analyze them in a structured way, and ...
Lijuan Zhang +5 more
openaire +1 more source
Unsupervised Segmentation of Greenhouse Plant Images Based on Statistical Method
Scientific Reports, 2018 Complicated image scene of the agricultural greenhouse plant images makes it very difficult to obtain precise manual labeling, leading to the hardship of getting the accurate training set of the conditional random field (CRF).
Ping Zhang, Lihong Xu
doaj +1 more source
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF [PDF]
Proceedings of the Seventh Named Entities Workshop, 2018 This paper presents a method of designing specific high-order dependency factor on the linear chain conditional random fields (CRFs) for named entity recognition (NER). Named entities tend to be separated from each other by multiple outside tokens in a text, and thus the first-order CRF, as well as the second-order CRF, may innately lose transition ...
Wangjin Lee, Jinwook Choi
openaire +2 more sources
SEMANTIC BUILDING FAÇADE SEGMENTATION FROM AIRBORNE OBLIQUE IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 With the introduction of airborne oblique camera systems and the improvement of photogrammetric techniques, high-resolution 2D and 3D data can be acquired in urban areas.
Y. Lin, F. Nex, M. Y. Yang
doaj +1 more source
Dialogue Act Recognition via CRF-Attentive Structured Network
, 2017 Dialogue Act Recognition (DAR) is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention.
Ang Jeremy +6 more
core +1 more source