Discriminant analysis-based dimension reduction for hyperspectral image classification: A survey of the most recent advances and an experimental comparison of …
Hyperspectral imagery contains hundreds of contiguous bands with a wealth of spectral
signatures, making it possible to distinguish materials through subtle spectral discrepancies …
signatures, making it possible to distinguish materials through subtle spectral discrepancies …
Two-stage multiple kernel learning for supervised dimensionality reduction
In supervised dimensionality reduction methods for pattern recognition tasks, the information
of the class labels is considered through the process of reducing the input dimensionality, to …
of the class labels is considered through the process of reducing the input dimensionality, to …
Harnessing lab knowledge for real-world action recognition
Much research on human action recognition has been oriented toward the performance gain
on lab-collected datasets. Yet real-world videos are more diverse, with more complicated …
on lab-collected datasets. Yet real-world videos are more diverse, with more complicated …
Action recognition by exploring data distribution and feature correlation
Human action recognition in videos draws strong research interest in computer vision
because of its promising applications for video surveillance, video annotation, interactive …
because of its promising applications for video surveillance, video annotation, interactive …
Pairwise costs in semisupervised discriminant analysis for face recognition
In recent years, face recognition is being recognized as a cost-sensitive learning problem.
Many cost-sensitive classifiers have been proposed. However, no sufficient attention is paid …
Many cost-sensitive classifiers have been proposed. However, no sufficient attention is paid …
Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery
X Song, Z Liu, X Yang, J Yang, Y Qi - Applied Soft Computing, 2015 - Elsevier
This article presents an extended Parameterized Fuzzy Semi-supervised learning (PFSL)
method, in which the key innovation is the capability of separating a sample set into two …
method, in which the key innovation is the capability of separating a sample set into two …
Robust kernel collaborative representation for face recognition
W Huang, X Wang, Y Ma, Y Jiang, Y Zhu… - Optical …, 2015 - spiedigitallibrary.org
One of the greatest challenges of representation-based face recognition is that the training
samples are usually insufficient. In other words, the training set usually does not include …
samples are usually insufficient. In other words, the training set usually does not include …
Fluid dynamic models for Bhattacharyya-based discriminant analysis
Classical discriminant analysis attempts to discover a low-dimensional subspace where
class label information is maximally preserved under projection. Canonical methods for …
class label information is maximally preserved under projection. Canonical methods for …
Finding survival groups in SEER lung cancer data
I Skrypnyk - 2012 11th International Conference on Machine …, 2012 - ieeexplore.ieee.org
This paper investigates application of novel Bidirectional Data Partitioning Technique (BDP)
to cancer survival analysis. Author has developed this technique for classification problems …
to cancer survival analysis. Author has developed this technique for classification problems …
Voting among virtually generated versions of a classification problem
A Hosseinzadeh, AM Reza - IEEE Transactions on Systems …, 2012 - ieeexplore.ieee.org
A classifier combining strategy, virtual voting by random projection (VVRP), is presented.
VVRP takes advantage from the bounded distortion incurred by random projection in order …
VVRP takes advantage from the bounded distortion incurred by random projection in order …