Abstract—Real-world datasets often involve multiple views of data items, e.g., a Web page can be described by both its content and anchor texts of hyperlinks leading to it; photos in Flickr could be characterized by visual features, as well as user contributed tags. Different views provide information complementary to each other. Synthesizing multi-view features can lead to a comprehensive description of the data items, which could benefit many data analytic applications. Unfortunately, the simple idea of concatenating different feature vectors ignores statistical properties of each view and usually incurs the “curse of dimensionality ” problem. We propose Multi-view Concept Learning (MCL), a novel nonnegative latent representation learning...
In real-world applications, clustering or classification can usually be improved by fusing informati...
Abstract The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multip...
Multiview representations reveal the latent information of the data from different perspectives, con...
Multi-view data analysis is a key technology for making effective decisions by leveraging informatio...
For real-world applications, data are often associated with multiple labels and represented with mul...
Previous multi-view clustering algorithms mostly partition the multi-view data in their original fea...
© 2012 IEEE. Many applications involve objects containing structure and rich content information, ea...
Multi-view representation learning has developed rapidly over the past decades and has been applied ...
As we all know, multi-view data is more expressive than single-view data and multi-label annotation ...
Multi-view Comprehensive Representation Learning (MCRL) aims to synthesize information from multiple...
In multi-instance learning (MIL), the relations among instances in a bag convey important contextual...
Learning multiple heterogeneous features from different data sources is challenging. One research to...
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple inform...
International audienceWith the increasing availability of annotated multimedia data on the Internet,...
Multi-view data that contains the data represented in many types of features has received much atten...
In real-world applications, clustering or classification can usually be improved by fusing informati...
Abstract The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multip...
Multiview representations reveal the latent information of the data from different perspectives, con...
Multi-view data analysis is a key technology for making effective decisions by leveraging informatio...
For real-world applications, data are often associated with multiple labels and represented with mul...
Previous multi-view clustering algorithms mostly partition the multi-view data in their original fea...
© 2012 IEEE. Many applications involve objects containing structure and rich content information, ea...
Multi-view representation learning has developed rapidly over the past decades and has been applied ...
As we all know, multi-view data is more expressive than single-view data and multi-label annotation ...
Multi-view Comprehensive Representation Learning (MCRL) aims to synthesize information from multiple...
In multi-instance learning (MIL), the relations among instances in a bag convey important contextual...
Learning multiple heterogeneous features from different data sources is challenging. One research to...
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple inform...
International audienceWith the increasing availability of annotated multimedia data on the Internet,...
Multi-view data that contains the data represented in many types of features has received much atten...
In real-world applications, clustering or classification can usually be improved by fusing informati...
Abstract The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multip...
Multiview representations reveal the latent information of the data from different perspectives, con...