125 citations · 230 across the 10 of their papers we have counts for
5 papers · 1 filter
Learning using privileged information for segmenting tumors on digital mammograms
Ioannis N. Tzortzis, Konstantinos Makantasis, Ioannis Rallis +3
Limited amount of data and data sharing restrictions, due to GDPR compliance, constitute two common factors leading to reduced availability and accessibility when referring to medi…
Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery
Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis +3
In Cultural Heritage, hyperspectral images are commonly used since they provide extended information regarding the optical properties of materials. Thus, the processing of such hig…
Tensor-Based Classifiers for Hyperspectral Data Analysis
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +1
In this work, we present tensor-based linear and nonlinear models for hyperspectral data classification and analysis. By exploiting principles of tensor algebra, we introduce new c…
Data-Driven Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery
Konstantinos Makantasis, Antonis Nikitakis, Anastasios Doulamis +2
Detection of moving objects in videos is a crucial step towards successful surveillance and monitoring applications. A key component for such tasks is called background subtraction…
Variational Inference for Background Subtraction in Infrared Imagery
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis
We propose a Gaussian mixture model for background subtraction in infrared imagery. Following a Bayesian approach, our method automatically estimates the number of Gaussian compone…