Results 41 to 50 of about 5,224,308 (308)
Regression-based Multi-View Facial Expression Recognition [PDF]
, 2010 We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g.
Pantic, Maja +2 more
core +3 more sources
Label Correlation Guided Deep Multi-View Image Annotation
IEEE Access, 2019 Automatic image annotation is an important technique which has been widely applied in many fields such as social network image analysis and retrieval, face recognition and so on.
Zhe Xue +4 more
doaj +1 more source
Multi-View Data approaches in Recommender Systems: an Overview [PDF]
Procedia Computer Science, 2017 Abstract This paper overviews an assortment of recent research work undertaken on recommender system models based on using multiple views of user and item-related data across the recommendation process. A summary of representative literature on multi-view recommender approaches is provided, describing their main characteristics, such as: their ...
Palomares Carrascosa, Ivan +1 more
openaire +2 more sources
Incorporating covariates into integrated factor analysis of multi‐view data [PDF]
Biometrics, 2017 In modern biomedical research, it is ubiquitous to have multiple data sets measured on the same set of samples from different views (i.e., multi‐view data). For example, in genetic studies, multiple genomic data sets at different molecular levels or from
Gen Li, Sungkyu Jung
semanticscholar +1 more source
Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing
IEEE transactions on consumer electronicsMulti-view data processing is an effective tool to differentiate the levels of consumers on electronics. Recently, the graph based multi-view clustering methods have attracted widespread attention because they can obtain the relationships of multi-view ...
Baicheng Pan +4 more
semanticscholar +1 more source
A Comprehensive Review on Light Field Occlusion Removal: Trends, Challenges, and Future Directions
IEEE AccessOvercoming occlusions in light field (LF) imaging is a challenging yet complex task crucial for scene understanding, image quality enhancement, and restoring visual details in obstructed scenes. This review examines contemporary occlusion removal methods,
Mostafa Farouk Senussi +5 more
doaj +1 more source
Applied Network Science, 2020 The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and how those topics evolve over the course of ...
Iain J. Cruickshank, Kathleen M. Carley
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Learning from Multi-View Multi-Way Data via Structural Factorization Machines
, 2018 Real-world relations among entities can often be observed and determined by different perspectives/views. For example, the decision made by a user on whether to adopt an item relies on multiple aspects such as the contextual information of the decision ...
Cao, Bokai +4 more
core +1 more source
Robust Hashing for Multi-View Data: Jointly Learning Low-Rank Kernelized Similarity Consensus and Hash Functions [PDF]
Image and Vision Computing, 2016 Learning hash functions/codes for similarity search over multi-view data is attracting increasing attention, where similar hash codes are assigned to the data objects characterizing consistently neighborhood relationship across views. Traditional methods
Lin Wu, Yang Wang
semanticscholar +1 more source
Multi-view dual anchor graph fuzzy clustering
Nantong Daxue xuebao. Ziran kexue banIn recent years, with the rapid development of multi-view learning, how to effectively integrate information from different views for clustering analysis has become an important research topic in both academia and industry,driving the emergence of ...
ZHU Chenghao；DING Weiping；ZHANG Wei
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