A Brief Survey Ondynamic Topic Model for Unsupervised Object Discovery and Localization

2018 ◽  
Vol 6 (9) ◽  
pp. 567-571
Author(s):  
Mereena Johny ◽  
L. Haldurai
Keyword(s):  
Topic Model ◽  
Object Discovery

Category Level Object Discovery Using Dynamic Topic Model

2012 ◽  
Vol 190-191 ◽  
pp. 944-948
Author(s):  
Jun Guo ◽  
Hao Sun ◽  
Chang Ren Zhu
Keyword(s):  
Remote Sensing ◽  
Topic Model ◽  
Learning Algorithm ◽  
Remote Sensing Image ◽  
Video Sequences ◽  
Temporal Context ◽  
Multiple Objects ◽  
Object Discovery ◽  
Object Categories ◽  
Remote Sensing Image Classification

Category level object discovery is important for a number of applications such as remote sensing image classification, and data mining in images and video sequences. This paper presents a novel unsupervised learning algorithm for discovering object category and their locations in video sequences. Both appearance consistency and motion consistency of local patches across frames are exploited. Video patches are first extracted and represented by spatial-temporal context words. A dynamic topic model is then introduced to learn object categories in video sequences. The proposed dynamic model can categorize and localize multiple objects in a single video. Experimental results on the CamVid dataset and the VISATTM dataset demonstrate the effectiveness of our method.

Knowledge-Based Topic Model for Unsupervised Object Discovery and Localization

2018 ◽  
Vol 27 (1) ◽  
pp. 50-63 ◽  
Author(s):  
Zhenxing Niu ◽  
Gang Hua ◽  
Le Wang ◽  
Xinbo Gao
Keyword(s):  
Topic Model ◽  
Object Discovery ◽  
Knowledge Based

scholarly journals A region-centered topic model for object discovery and category-based image segmentation

2013 ◽  
Vol 46 (9) ◽  
pp. 2437-2449 ◽  
Author(s):  
Iván González-Díaz ◽  
Fernando Díaz-de-María
Keyword(s):  
Image Segmentation ◽  
Topic Model ◽  
Object Discovery

A Study on Bestseller Short Text Semantics Analysis Using Topic Model

2018 ◽  
Vol 15 ◽  
pp. 101-112
Author(s):  
So-Hyun Park ◽  
Ae-Rin Song ◽  
Young-Ho Park ◽  
Sun-Young Ihm
Keyword(s):  
Topic Model ◽  
Short Text

Twin labeled LDA: a supervised topic model for document classification

2020 ◽  
Vol 50 (12) ◽  
pp. 4602-4615
Author(s):  
Wei Wang ◽  
Bing Guo ◽  
Yan Shen ◽  
Han Yang ◽  
Yaosen Chen ◽  
...  
Keyword(s):  
Topic Model ◽  
Document Classification

Research Topics and Trends in the Maritime Transport: a Structural Topic Model

2020 ◽  
Author(s):  
Xiwen Bai ◽  
Xiunian Zhang ◽  
Kevin X. Li ◽  
Yaoming Zhou ◽  
Kum Fai Yuen
Keyword(s):  
Topic Model ◽  
Maritime Transport ◽  
Research Topics ◽  
Structural Topic Model
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