Bag‐of‐words representation in image annotation: a review
CF Tsai - International Scholarly Research Notices, 2012 - Wiley Online Library
Content‐based image retrieval (CBIR) systems require users to query images by their low‐
level visual content; this not only makes it hard for users to formulate queries, but also can …
level visual content; this not only makes it hard for users to formulate queries, but also can …
[PDF][PDF] Unsupervised classification of images: a review
Unsupervised image classification is the process by which each image in a dataset is
identified to be a member of one of the inherent categories present in the image collection …
identified to be a member of one of the inherent categories present in the image collection …
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
Detecting sentiments in natural language is tricky even for humans, making its automated
detection more complicated. This research proffers a hybrid deep learning model for fine …
detection more complicated. This research proffers a hybrid deep learning model for fine …
A deep learning model for estimating story points
Although there has been substantial research in software analytics for effort estimation in
traditional software projects, little work has been done for estimation in agile projects …
traditional software projects, little work has been done for estimation in agile projects …
Bundling features for large scale partial-duplicate web image search
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words
obtained by quantizing high-dimensional local image descriptors, and scalable schemes …
obtained by quantizing high-dimensional local image descriptors, and scalable schemes …
Tag completion for image retrieval
Many social image search engines are based on keyword/tag matching. This is because tag-
based image retrieval (TBIR) is not only efficient but also effective. The performance of TBIR …
based image retrieval (TBIR) is not only efficient but also effective. The performance of TBIR …
[图书][B] Computer Vision and Recognition Systems: Research Innovations and Trends
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Semantics-preserving bag-of-words models and applications
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 …
categorization and annotation tasks. One critical limitation of existing BoW models is that …
A Linear Dirichlet Mixture Model for decomposing scenes: Application to analyzing urban functional zonings
X Zhang, S Du - Remote Sensing of Environment, 2015 - Elsevier
Urban scenes are fundamental to assessing urban landscapes and analyzing the spatial
arrangements of functional zonings. Thus, it is important to obtain the information on urban …
arrangements of functional zonings. Thus, it is important to obtain the information on urban …
Coordinates are NOT lonely-codebook prior helps implicit neural 3D representations
Implicit neural 3D representation has achieved impressive results in surface or scene
reconstruction and novel view synthesis, which typically uses the coordinate-based multi …
reconstruction and novel view synthesis, which typically uses the coordinate-based multi …