An improved density peaks clustering algorithm based on natural neighbor with a merging strategy
S Ding, W Du, X Xu, T Shi, Y Wang, C Li - Information Sciences, 2023 - Elsevier
Density peaks clustering (DPC) is a novel density-based clustering algorithm that identifies
center points quickly through a decision graph and assigns corresponding labels to …
center points quickly through a decision graph and assigns corresponding labels to …
Multi-modal data clustering using deep learning: A systematic review
Multi-modal clustering represents a formidable challenge in the domain of unsupervised
learning. The objective of multi-modal clustering is to categorize data collected from diverse …
learning. The objective of multi-modal clustering is to categorize data collected from diverse …
Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning
B Suvarna, S Balakrishna - Fashion and Textiles, 2024 - Springer
With the rise of online shopping due to the COVID-19 pandemic, Recommender Systems
have become increasingly important in providing personalized product recommendations …
have become increasingly important in providing personalized product recommendations …
Enhancing the quality of image tagging using a visio-textual knowledge base
C Chaudhary, P Goyal, DN Prasad… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Auto-tagging of images is important for image understanding and for tag-based applications
viz. image retrieval, visual question-answering, image captioning, etc. Although existing …
viz. image retrieval, visual question-answering, image captioning, etc. Although existing …
ISRE-Framework: nonlinear and multimodal exploration of image search result spaces
The extensive information delivery power and an immense volume of image objects make
them frequently use multimedia content over the web. However, access to desired image …
them frequently use multimedia content over the web. However, access to desired image …
Survey and challenges of story generation models-A multimodal perspective with five steps: Data embedding, topic modeling, storyline generation, draft story …
SM Park, YG Kim - Information Fusion, 2021 - Elsevier
The story is the description of events in chronological order that have occurred between
people. By delivering facts to the people reading the story, it enables them to feel emotions …
people. By delivering facts to the people reading the story, it enables them to feel emotions …
Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search
X Ma, H Ma - Online Information Review, 2020 - emerald.com
Purpose Graphic-based tag clouds aim to visually represent tag content and tag structure,
and then to better represent tagged information for later search. However, few studies have …
and then to better represent tagged information for later search. However, few studies have …
Hierarchical clustering algorithm based on natural local density peaks
F Cai, J Feng, D Yang, Z Chen - Signal, Image and Video Processing, 2024 - Springer
Natural neighbor is known for its ability to adaptively identify the nearest neighbors in a
dataset, but it sometimes can not accurately cluster in datasets with density variations. To …
dataset, but it sometimes can not accurately cluster in datasets with density variations. To …
Attention-Driven Fusion of Pre-Trained Model Features for Superior Recommender Systems
S Buradagunta, S Balakrishna - Journal of The Institution of Engineers …, 2024 - Springer
Recommender systems are essential in online platforms and e-commerce as they help
users find personalized and relevant products. This study presents a novel two-stage …
users find personalized and relevant products. This study presents a novel two-stage …
A Novel Approach for Hashtag Topic Classification with Multimodal Features and VLMs
HT Zafar, B Tahir, MA Mehmood - 2024 Horizons of Information …, 2024 - ieeexplore.ieee.org
The rapid expansion of Instagram content marked by a large volume of photos and
comments demands effective methods for discovering topics. While hashtags facilitate the …
comments demands effective methods for discovering topics. While hashtags facilitate the …