Demo Data from EDBT 2026 / reviewers in the wild / expert
Ming W. R. Ng
dblp:71/7992
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Biometric security · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Biometric security
biometric database |
0.1 | 1 | 2010 | The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB) · IEEE Trans. Pattern Anal. Mach. Intell. 2010 |
Biometric security
biometric recognition |
0.1 | 1 | 2010 | The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB) · IEEE Trans. Pattern Anal. Mach. Intell. 2010 |
Biometric security › multi-biometric systems
multimodal biometrics |
0.1 | 1 | 2010 | The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB) · IEEE Trans. Pattern Anal. Mach. Intell. 2010 |
Methods — techniques the papers use, named apart from their topics
multimodal fusion · 0.1baseline evaluation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)abstractA 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 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware. The three scenarios include a common part of audio/video data. Also, signature and fingerprint data have been acquired both with desktop PC and mobile portable hardware. Additionally, hand and iris data were acquired in the second scenario using desktop PC. Acquisition has been conducted by 11 European institutions. Additional features of the BioSecure Multimodal Database (BMDB) are: two acquisition sessions, several sensors in certain modalities, balanced gender and age distributions, multimodal realistic scenarios with simple and quick tasks per modality, cross-European diversity, availability of demographic data, and compatibility with other multimodal databases. The novel acquisition conditions of the BMDB allow us to perform new challenging research and evaluation of either monomodal or multimodal biometric systems, as in the recent BioSecure Multimodal Evaluation campaign. A description of this campaign including baseline results of individual modalities from the new database is also given. The database is expected to be available for research purposes through the BioSecure Association during 2008. Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R. Freire, Joaquín González-Rodríguez, Carmen García-Mateo, José Luis Alba-Castro, Elisardo González-Agulla, Enrique Otero Muras, Sonia Garcia-Salicetti, Lorène Allano, Van-Bao Ly, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming W. R. Ng, Michael C. Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrzej Drygajlo, Harald Ganster, Federico Sukno, Sri-Kaushik Pavani, Alejandro F. Frangi, Lale Akarun, Arman Savran |
IEEE Trans. Pattern Anal. Mach. Intell. | 19 |