Results 31 to 40 of about 9,285,371 (201)
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
Robotics: Science and Systems III, 2007 Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing techniques such as the Iterative Closest Point (ICP) algorithm perform well under many circumstances, they often fail when the initial estimate of the offset between scans is ...
Fabio T. Ramos 0001 +2 more
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Named Entity Recognition in Tourism Based on Directed Graph Model [PDF]
Jisuanji gongcheng, 2022 Named entity recognition in the field of tourism is an important part in the construction of tourism knowledge graph.Compared with entities in the general field, entities in the tourism field are characterized by the long name, polysemy and frequent ...
CUI Liping, Altenbek Gulila, WANG Zhiyue
doaj +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
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Conditional random field-based mesh saliency
, 2014 We propose a new method for detecting mesh saliency, a reflection of perception-based regional importance for 3D meshes. The basic idea is to incorporate the Conditional Random Field (CRF) framework with a saliency detection process.
Yonghuai Liu (715701) +4 more
core +3 more sources
A Conditional Random Field for Multiple-Instance Learning [PDF]
, 2010 We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines discriminative unary instance classifiers and pairwise dissimilarity measures.
Ferrari, V., Deselaers, T.
core +2 more sources
Automatic Keyword Extraction from Documents Using Conditional Random Fields [PDF]
, 2008 Keywords are subset of words or phrases from a document that can describe the meaning of the document. Many text mining applications can take advantage from it. Unfortunately, a large portion of documents still do not have keywords assigned. On the other
Zhang, Chengzhi
core +1 more source
S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction [PDF]
, 2023 Trajectory prediction is of significant importance in computer vision. Accurate pedestrian trajectory prediction benefits autonomous vehicles and robots in planning their motion. Pedestrians' trajectories are greatly influenced by their intentions. Prior
Yang, Song +6 more
core
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
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
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