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11/12/2019
Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation
Convolutional neural networks (CNNs) are deep learning frameworks which ...
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11/10/2019
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection
Prototype-based methods are of the particular interest for domain specia...
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09/19/2019
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold
Dimensionality reduction (DR) on the manifold includes effective methods...
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03/12/2019
Non-Negative Local Sparse Coding for Subspace Clustering
Subspace sparse coding (SSC) algorithms have proven to be beneficial to ...
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03/12/2019
Confident Kernel Sparse Coding and Dictionary Learning
In recent years, kernel-based sparse coding (K-SRC) has received particu...
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03/10/2019
Non-Negative Kernel Sparse Coding for the Classification of Motion Data
We are interested in the decomposition of motion data into a sparse line...
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03/08/2019
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning
Multiple kernel learning (MKL) algorithms combine different base kernels...
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03/05/2019
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series
There exist many approaches for description and recognition of unseen cl...
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10/17/2016