A brief survey on semantic segmentation with deep learning
S Hao, Y Zhou, Y Guo - Neurocomputing, 2020 - Elsevier
Semantic segmentation is a challenging task in computer vision. In recent years, the
performance of semantic segmentation has been greatly improved by using deep learning …
performance of semantic segmentation has been greatly improved by using deep learning …
[HTML][HTML] Auto-encoders in deep learning—a review with new perspectives
S Chen, W Guo - Mathematics, 2023 - mdpi.com
Deep learning, which is a subfield of machine learning, has opened a new era for the
development of neural networks. The auto-encoder is a key component of deep structure …
development of neural networks. The auto-encoder is a key component of deep structure …
Big data: A survey
In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …
the general background of big data and review related technologies, such as could …
Toward scalable systems for big data analytics: A technology tutorial
Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …
(eg, health care and scientific sensors, user-generated data, Internet and financial …
Socializing the semantic gap: A comparative survey on image tag assignment, refinement, and retrieval
Where previous reviews on content-based image retrieval emphasize what can be seen in
an image to bridge the semantic gap, this survey considers what people tag about an image …
an image to bridge the semantic gap, this survey considers what people tag about an image …
Robust face recognition via adaptive sparse representation
Sparse representation (or coding)-based classification (SRC) has gained great success in
face recognition in recent years. However, SRC emphasizes the sparsity too much and …
face recognition in recent years. However, SRC emphasizes the sparsity too much and …
Single image dehazing with a physical model and dark channel prior
We propose a single image dehazing method that is based on a physical model and the
dark channel prior principle. The selection of an atmospheric light value is directly …
dark channel prior principle. The selection of an atmospheric light value is directly …
Fuzzy deep belief networks for semi-supervised sentiment classification
By embedding prior knowledge into the learning structure, this paper presents a two-step
semi-supervised learning method called fuzzy deep belief networks (FDBN) for sentiment …
semi-supervised learning method called fuzzy deep belief networks (FDBN) for sentiment …
[PDF][PDF] Collaborative topic regression with social regularization for tag recommendation.
Recently, tag recommendation (TR) has become a very hot research topic in data mining
and related areas. However, neither co-occurrence based methods which only use the item …
and related areas. However, neither co-occurrence based methods which only use the item …