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19952026
most citedHybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

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Showing 2014 · math.PRShow all

8 papers · 2 filters

math.PR2014

Stable Random Fields, Point Processes and Large Deviations

Vicky Fasen, Parthanil Roy

We investigate the large deviation behaviour of a point process sequence based on a stationary symmetric stable non-Gaussian discrete-parameter random field using the framework of…

math.PR2014

Remarks on absolute continuity in the context of free probability and random matrices

Arijit Chakrabarty, Rajat Subhra Hazra

In this note, we show that the limiting spectral distribution of symmetric random matrices with stationary entries is absolutely continuous under some sufficient conditions. This r…

math.PR2014

Limiting spectral distribution of a class of Hankel type random matrices

Anirban Basak, Arup Bose, Soumendu Sundar Mukherjee

We consider an indexed class of real symmetric random matrices which generalize the symmetric Hankel and Reverse Circulant matrices. We show that the limiting spectral distribution…

math.PR2014★ 45 cited

The gap between Gromov-vague and Gromov-Hausdorff-vague topology

Siva Athreya, Wolfgang Löhr, Anita Winter

In Athreya, Löhr, Winter (2016), an invariance principle is stated for a class of strong Markov processes on tree-like metric measure spaces. It is shown that if the underlying spa…

math.PR2014

Bulk behaviour of Schur-Hadamard products of symmetric random matrices

Arup Bose, Soumendu Sundar Mukherjee

We develop a general method for establishing the existence of the Limiting Spectral Distributions (LSD) of Schur-Hadamard products of independent symmetric patterned random matrice…

math.PR2014★ 9 cited

Random geometric complexes in the thermodynamic regime

D. Yogeshwaran, Eliran Subag, Robert J. Adler

We consider the topology of simplicial complexes with vertices the points of a random point process and faces determined by distance relationships between the vertices. In particul…

math.PR2014★ 14 cited

From random matrices to long range dependence

Arijit Chakrabarty, Rajat Subhra Hazra, Deepayan Sarkar

Random matrices whose entries come from a stationary Gaussian process are studied. The limiting behavior of the eigenvalues as the size of the matrix goes to infinity is the main s…

math.PR2014

Inhomogeneous Long-Range Percolation for Real-Life Network Modeling

Philippe Deprez, Rajat Subhra Hazra, Mario V. Wüthrich

The study of random graphs has become very popular for real-life network modeling such as social networks or financial networks. Inhomogeneous long-range percolation (or scale-free…