Results 291 to 300 of about 52,386 (322)

Comparing Bag of Words and TF-IDF with different models for hate speech detection from live tweets

International journal of information technology, 2022
S. Akuma, Tyosar Lubem, Isaac Adom
semanticscholar   +1 more source

A novel method for content-based image retrieval to improve the effectiveness of the bag-of-words model using a support vector machine

Journal of information science, 2018
The advancements in the multimedia technologies result in the growth of the image databases. To retrieve images from such image databases using visual attributes of the images is a challenging task due to the close visual appearance among the visual ...
A. Sarwar, Zahid Mehmood, T. Saba, Khurram Ashfaq Qazi, Ahmed Adnan, Habibullah Jamal   +5 more
semanticscholar   +1 more source

A Bag of Words Approach for 3D Object Categorization

2009
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introduce an effective method for hierarchical 3D object segmentation driven by the minima rule that combines spectral clustering --- for the selection of seed-regions --- with ...
Roberto Toldo, Umberto Castellani, Andrea Fusiello   +2 more
openaire   +3 more sources

Bag of visual words revisited

Proceedings of the Tenth International Workshop on Multimedia Data Mining, 2010
Visual information retrieval systems have gained importance due to the increasing amount of available digital multimedia data. Local features employing a bag of words approach from text retrieval have outperformed global features and have enhanced retrieval performance in large data sets. In this paper we conduct an exploratory study revisiting the bag
Marian Kogler, Mathias Lux
openaire   +1 more source

Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning

IEEE Transactions on Geoscience and Remote Sensing, 2018
This paper presents a novel approach to automatically detect and count cars in different aerial images, which can be satellite or unmanned aerial vehicle (UAV) images.
Hailing Zhou, Lei Wei, C. Lim, D. Creighton, S. Nahavandi   +4 more
semanticscholar   +1 more source

Clinical Text Classification with Word Embedding Features vs. Bag-of-Words Features

2018 IEEE International Conference on Big Data (Big Data), 2018
Word embedding motivated by deep learning have shown promising results over traditional bag-of-words features for natural language processing. When trained on large text corpora, word embedding methods such as word2vec and doc2vec methods have the ...
Y. Shao, Stephanie Taylor, Nell J. Marshall, C. Morioka, Q. Zeng-Treitler   +4 more
semanticscholar   +1 more source

Saliency-based fabric defect detection via bag-of-words model

Signal, Image and Video Processing, 2022
Maria Kanwal, M. Riaz, S. Ali, Abdul Ghafoor   +3 more
semanticscholar   +1 more source

Image Representation with Bag-of-Words

2016
Image classification, which is to assign one or more category labels to an image, is a very hot topic in computer vision and pattern recognition. It can be applied in video surveillance, remote sensing, web content analysis, biometrics, etc. Many successful models transform low-level descriptors into richer mid-level representations.
Xiang Xu, Xingkun Wu, Feng Lin
openaire   +1 more source

Bag-of-words classification of miniature illustrations.

2010
In this paper a system for illuminated manuscripts images analysis is presented. In particular the bag-of-keypoints strategy, commonly adopted for object recognition, image classification and scene recognition, is applied to the classification of automatically extracted miniatures.
GRANA, Costantino, BORGHESANI, Daniele, GUALDI, Giovanni, CUCCHIARA, Rita   +3 more
openaire   +2 more sources

Bag-of-visual-words and spatial extensions for land-use classification

ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2010
Yi Yang, S. Newsam
semanticscholar   +1 more source