Results 11 to 20 of about 40,024,031 (248)
Facing the Void: Overcoming Missing Data in Multi-View Imagery [PDF]
In some scenarios, a single input image may not be enough to allow the object classification. In those cases, it is crucial to explore the complementary information extracted from images presenting the same object from multiple perspectives (or views) in
Gabriel Machado +3 more
doaj +2 more sources
Semi-supervised classification and visualisation of multi-view data [PDF]
An increasing number of multi-view data are being published by studies in several fields. This type of data corresponds to multiple data-views, each representing a different aspect of the same set of samples.
Evangelou, Marina +2 more
core +5 more sources
2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]
This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi +7 more
core +1 more source
A Graph-based Multi-view Clustering Approach for Continuous Pattern Mining
Today’s smart monitoring applications need machine learning models and data mining algorithms that are capable of analysing and mining the temporal component of data streams.
Devagiri, Vishnu Manasa, +2 more
core +1 more source
Self-correction of 3D reconstruction from multi-view stereo images [PDF]
We present a self-correction approach to improving the 3D reconstruction of a multi-view 3D photogrammetry system. The self-correction approach has been able to repair the reconstructed 3D surface damaged by depth discontinuities.
Ju, X +11 more
core +1 more source
Multi Locus View: an extensible web-based tool for the analysis of genomic data.
Martin Sergeant et al. develop a web-based tool called Multi Locus View that allows researchers to interact with genomics datasets at multiple scales. Users can browse, annotate, combine or analyse raw data on this interface.
Martin J. Sergeant +5 more
doaj +1 more source
Unsupervised Learning from Multi-view Data [PDF]
With the advance of technology, data are often with multiple modalities or coming from multiple sources. Such data are called multi-view data. Usually, multiple views provide complementary information for the semantically same data.
Weixiang Shao (7984739)
core +7 more sources
Multi-View Spectral Clustering With Incomplete Graphs
Traditional multi-view learning usually assumes each instance appears in all views. However, in real-world applications, it is not an uncommon case that a number of instances suffer from some view samples missing.
Wenzhang Zhuge +4 more
doaj +1 more source
In industrial settings, continuous monitoring of the operation of assets generates a vast amount of data originating from a multitude of very diverse sources. This data allows to study and understand asset performance in real operating conditions, paving
Tsiporkova, Elena, +2 more
core +1 more source
On the use of ensemble method for multi view textual data
Nowadays, trends detection is an important task on social media to determine trends that are being discussed the most on a social platform. One of the main challenges of this task is the processing of unstructured textual data which has different ...
Maha Fraj +2 more
doaj +1 more source

