Results 41 to 50 of about 8,378,989 (251)
Exploring latent weight factors and global information for food-oriented cross-modal retrieval
Food-oriented cross-modal retrieval aims to retrieve relevant recipes given food images or vice versa. The modality semantic gap between recipes and food images (text and image modalities) is the main challenge.
Wenyu Zhao +4 more
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Filtered local pattern descriptor for face recognition and infrared pedestrian detection
In recent decades, the local pattern descriptor has achieved tremendous success in the field of face recognition, pedestrian detection, and image texture analysis. This study presents a generic approach, called the filtered local pattern descriptor (FLPD)
Ning Sun +4 more
doaj +1 more source
Multi‐image matching for object recognition
One of the central problems in object recognition is to develop appropriate representations for the objects in images. The authors present a novel approach for image representation that is based on graphs.
Jie Zhu +4 more
doaj +1 more source
Activity-Free User Identification Using Wearables Based on Vision Techniques
In order to achieve the promise of smart spaces where the environment acts to fulfill the needs of users in an unobtrusive and personalized manner, it is necessary to provide means for a seamless and continuous identification of users to know who indeed ...
Alejandro Sanchez Guinea +2 more
doaj +1 more source
The problem that the texture details of low‐resolution (LR) digital images of ancient murals are ambiguous persists. To solve this problem, this study proposes a super‐resolution (SR) reconstruction method for fuzzy murals based on a generative ...
Jianfang Cao +4 more
doaj +1 more source
Exponential Graph Regularized Non-Negative Low-Rank Factorization for Robust Latent Representation
Non-negative matrix factorization (NMF) is a fundamental theory that has received much attention and is widely used in image engineering, pattern recognition and other fields.
Guowei Yang, Lin Zhang, Minghua Wan
doaj +1 more source
Fast high-resolution imaging method for wide-band rotating targets
To reduce the computation burden of inverse synthetic aperture radar on rotating targets imaging, a fast distributed simultaneous multiple orthogonal matching pursuit method is proposed in this study.
Hu Xiang +4 more
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VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition [PDF]
Reliable facial expression recognition plays a critical role in human-machine interactions. However, most of the facial expression analysis methodologies proposed to date pay little or no attention to the protection of a user's privacy. In this paper, we
Jiawei Chen, J. Konrad, P. Ishwar
semanticscholar +1 more source
RBM-based joint dictionary learning for ISAR resolution enhancement
In this study, an inverse synthetic aperture radar (ISAR) image resolution enhancement algorithm based on joint dictionary learning is proposed, by which two special sets of sparse signals called dictionaries are solved by exploiting numerous high ...
Jiaqi Ye +3 more
doaj +1 more source
Action recognition using vague division DMMs
This study presents a novel human action recognition method based on the sequences of depth maps, which provide additional body shape and motion information for action recognition.
Ke Jin +4 more
doaj +1 more source

