
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial
Deep Neural Networks (DNN) and especially Convolutional Neural Networks ...
read it

Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach
Graph Convolutional Neural Networks (GCNN) are becoming a preferred mode...
read it

Von MisesFisher Elliptical Distribution
A large class of modern probabilistic learning systems assumes symmetric...
read it

Improved Coherence IndexBased Bound in Compressive Sensing
Within the Compressive Sensing (CS) paradigm, sparse signals can be reco...
read it

A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals
Biomedical signals carry signature rhythms of complex physiological proc...
read it

Reciprocal Adversarial Learning via Characteristic Functions
Generative adversarial nets (GANs) have become a preferred tool for acco...
read it

Methods of Adaptive Signal Processing on Graphs Using VertexTime Autoregressive Models
The concept of a random process has been recently extended to graph sign...
read it

Graph Signal Processing – Part III: Machine Learning on Graphs, from Graph Topology to Applications
Many modern data analytics applications on graphs operate on domains whe...
read it

Graph Signal Processing – Part II: Processing and Analyzing Signals on Graphs
The focus of Part I of this monograph has been on both the fundamental p...
read it

Graph Signal Processing  Part I: Graphs, Graph Spectra, and Spectral Clustering
The area of Data Analytics on graphs promises a paradigm shift as we app...
read it

A general solver to the elliptical mixture model through an approximate Wasserstein manifold
This paper studies the problem of estimation for general finite mixture ...
read it

On the Decomposition of Multivariate Nonstationary Multicomponent Signals
With their ability to handle an increased amount of information, multiva...
read it

An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing
The existence and uniqueness conditions are a prerequisite for reliable ...
read it

Widely Linear Complexvalued Autoencoder: Dealing with Noncircularity in GenerativeDiscriminative Models
We propose a new structure for the complexvalued autoencoder by introdu...
read it

Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
In tensor completion tasks, the traditional lowrank tensor decompositio...
read it

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition
The Canonical Polyadic decomposition (CPD) is a convenient and intuitive...
read it

Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion
In lowrank tensor completion tasks, due to the underlying multiple larg...
read it

Online Multilinear Dictionary Learning for Sequential Compressive Sensing
A method for online tensor dictionary learning is proposed. With the ass...
read it

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction
Very often data we encounter in practice is a collection of matrices rat...
read it
Danilo Mandic
is this you? claim profile