Results 41 to 50 of about 15,707 (245)
Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network
Information, 2020 Distantly Supervised relation extraction methods can automatically extract the relation between entity pairs, which are essential for the construction of a knowledge graph.
Xiaoye Ouyang, Shudong Chen, Rong Wang
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Tuberculosis Detection from Cough Recordings Using Bag-of-Words Classifiers
SensorsThe paper proposes the use of Bag-of-Words classifiers for the reliable detection of tuberculosis infection from cough recordings. The effect of using both independent and combined distinct feature extraction procedures and encoding strategies is ...
Irina Pavel, Iulian B. Ciocoiu
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Investigating the Bag-of-Words Method for 3D Shape Retrieval
EURASIP Journal on Advances in Signal Processing, 2010 This paper investigates the capabilities of the Bag-of-Words (BWs) method in the 3D shape retrieval field. The contributions of this paper are (1) the 3D shape retrieval task is categorized from different points of view: specific versus generic, partial ...
Afzal Godil, Xiaolan Li
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Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023This paper delves into the practical applications and effectiveness of two prominent text representation methods, the Bag-of-Words (BoW) model and Term Frequency-Inverse Document Frequency (TF-IDF), in the realm of Natural Language Processing (NLP).
Shuying Dai +6 more
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Video matching method based on "bag of words"
Tongxin xuebao, 2007 A "bag of words" was presented based method for video representation and matching.First,all local features of all video frames were quantized into a dictionary of visual words.Then each sub-shot of the video was represented by a set of visual words ...
LI Yuan-ning1 +3 more
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Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings
Applied SciencesSystems supporting systematic literature reviews often use machine learning algorithms to create classification models to assess the relevance of articles to study topics.
Radosław Pytlak +3 more
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Semantics-Preserving Bag-of-Words Models and Applications
IEEE Transactions on Image Processing, 2010 The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One critical limitation of existing BoW models is that much semantic information is lost during the codebook generation process, an important step of BoW.
Lei Wu, Steven C. H. Hoi, Nenghai Yu
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Dissimilarities Detections in Texts Using Symbol n-grams and Word Histograms
Open Computer Science, 2016 Texts (books, novels, papers, short messages) are sequences of sentences, words or symbols. Each author has an unique writing style. It can be characterized by some collection of attributes obtained from texts.
Andrejková Gabriela +1 more
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Enriching basic features via multilayer bag-of-words binding for Chinese question classification
CAAI Transactions on Intelligence Technology, 2019 Question classification helps to generate more accurate answers in question answering system. For an efficient question classifier, one of the most important tasks is to fully mine useful features.
Sichun Yang, Chao Gao
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Abnormal Traffic Identification Method Based on Bag of Words Model Clustering [PDF]
Jisuanji gongcheng, 2017 In view of the problem that the accuracy of abnormal traffic identification is low and fast identification is dependent on the threshold,an abnormal traffic identification method based on BoW(Bag of Words) model clustering is proposed.By means of K-means
MA Linjin,WAN Liang,MA Shaoju,YANG Ting
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