Results 41 to 50 of about 530,080 (274)

Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings

Applied Sciences
Systems supporting systematic literature reviews often use machine learning algorithms to create classification models to assess the relevance of articles to study topics.
Radosław Pytlak, Paweł Cichosz, Bartłomiej Fajdek, Bogdan Jastrzębski   +3 more
doaj   +1 more source

Location recognition in laparoscopic surgery

Current Directions in Biomedical Engineering, 2022
Navigation systems play an increasingly important role in minimally invasive surgery (MIS) by mitigating the problems rising from the decoupling of hand-eye movement of the surgeon.
Gaubatz Jakob, Hartwig Regine, Wilhelm Dirk   +2 more
doaj   +1 more source

Distributed Representations of Sentences and Documents [PDF]

, 2014
Many machine learning algorithms require the input to be represented as a fixed-length feature vector. When it comes to texts, one of the most common fixed-length features is bag-of-words.
Le, Quoc V., Mikolov, Tomas
core   +1 more source

MnI‐Functionalized Covalent Organic Framework as Efficient Electrocatalyst for CO2 Reduction in a Catholyte‐Free Zero‐Gap Electrolyzer

Advanced Functional Materials, EarlyView.
This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies, Marcos Eduardo G. Carmo, Gonçalves J. Marrenjo, Stephan Reuther, Patrick Ganswindt, Antonio Otavio T. Patrocinio, Thomas Bein, Osmando F. Lopes, Jenny Schneider   +8 more
wiley   +1 more source

Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres

Advanced Functional Materials, EarlyView.
MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel, Alec G. Burnett, Katherine E. Scheiber, Hans D. Robinson   +3 more
wiley   +1 more source

A Novel Loop Closure Detection Method Using Line Features

IEEE Access, 2019
Loop closure detection is a significant requirement for simultaneous localization and mapping (SLAM) to recognize revisited place. This paper presents a novel line-based loop closure detection method for vision-based SLAM that allows reliable loop ...
Ruifang Dong, Zhan-guo Wei, Changan Liu, Jiangming Kan   +3 more
doaj   +1 more source

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
doaj   +1 more source

Multi-Document Summarization using Distributed Bag-of-Words Model

, 2018
As the number of documents on the web is growing exponentially, multi-document summarization is becoming more and more important since it can provide the main ideas in a document set in short time. In this paper, we present an unsupervised centroid-based
Dey, Lipika, Mani, Kaustubh, Meisheri, Hardik, Verma, Ishan   +3 more
core   +1 more source

Comparison Between Bag of Words and Word Sense Disambiguation

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information, 2013
Bag of Words (BoW) and Word Sense Disambiguation (WSD) are the main approaches utilized in almost every data mining project for classification and data processing. The two approaches are extensively used in constructing various classifiers including supervised, unsupervised and semi-supervised classifiers.
Kalaiarasi Sonai Muthu Anbananthen, Ayoub Mohamed H. Elyasir   +1 more
openaire   +1 more source

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.
WU, Lei, HOI, Steven C. H., YU, Nenghai
openaire   +4 more sources