
-
Deep Gated Canonical Correlation Analysis
Canonical Correlation Analysis (CCA) models can extract informative corr...
read it
-
Directional wavelet packets originating from polynomial splines
The paper presents a versatile library of quasi-analytic complex-valued ...
read it
-
Analytic and directional wavelet packets in the space of periodic signals
The paper presents a versatile library of analytic and quasi-analytic co...
read it
-
Similarity Search Over Graphs Using Localized Spectral Analysis
This paper provides a new similarity detection algorithm. Given an input...
read it
-
Incomplete Pivoted QR-based Dimensionality Reduction
High-dimensional big data appears in many research fields such as image ...
read it
-
Multi-View Kernel Consensus For Data Analysis and Signal Processing
The input data features set for many data driven tasks is high-dimension...
read it
-
Gaussian Process Regression for Out-of-Sample Extension
Manifold learning methods are useful for high dimensional data analysis....
read it
-
Diffusion Representations
Diffusion Maps framework is a kernel based method for manifold learning ...
read it
-
PCA-Based Out-of-Sample Extension for Dimensionality Reduction
Dimensionality reduction methods are very common in the field of high di...
read it
-
MultiView Diffusion Maps
In this study we consider learning a reduced dimensionality representati...
read it
-
Randomized LU decomposition: An Algorithm for Dictionaries Construction
In recent years, distinctive-dictionary construction has gained importan...
read it
-
Video Segmentation via Diffusion Bases
Identifying moving objects in a video sequence, which is produced by a s...
read it
-
Missing Entries Matrix Approximation and Completion
We describe several algorithms for matrix completion and matrix approxim...
read it