243 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Graz University of TechnologyAT3 papers
- Oslo University HospitalNO3 papers
- Universität InnsbruckAT3 papers
- University of OsloNO3 papers
- Dublin City UniversityIE2 papers
- Ho Chi Minh City University of ScienceVN2 papers
- Institut Mines-TélécomFR2 papers
- Johannes Kepler University of LinzAT2 papers
- Magnetfabrik Bonn (Germany)DE2 papers
- Materials Center Leoben (Austria)AT2 papers
- Reykjavík UniversityIS2 papers
- Universidad Autónoma de MadridES2 papers
6 papers · 1 filter
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
Norman Poh, Thirimachos Bourlai, Josef Kittler +13
Automatically verifying the identity of a person by means of biometrics is an important application in day-to-day activities such as accessing banking services and security control…
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez +29
A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 indivi…
Some like it tough: Improving model generalization via progressively increasing the training difficulty
Hannes Fassold
In this work, we propose to progressively increase the training difficulty during learning a neural network model via a novel strategy which we call mini-batch trimming. This strat…
Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications
Stefan Escaida Navarro, Stephan Mühlbacher-Karrer, Hosam Alagi +5
Proximity perception is a technology that has the potential to play an essential role in the future of robotics. It can fulfill the promise of safe, robust, and autonomous systems…
Automatically Determining a Network Reconnaissance Scope Using Passive Scanning Techniques
Stefan Marksteiner, Bernhard Jandl-Scherf, Harald Lernbeiß
The starting point of securing a network is having a concise overview of it. As networks are becoming more and more complex both in general and with the introduction of IoT technol…
Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017
Limon Barua, Bo Zou, Yan +2
Despite the rapid growth of online shopping and research interest in the relationship between online and in-store shopping, national-level modeling and investigation of the demand…