33 citations · 48 across the 5 of their papers we have counts for
5 papers
Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal
Artur Costa-Pazo, David Jimenez-Cabello, Esteban Vazquez-Fernandez +2
Over the past few years, Presentation Attack Detection (PAD) has become a fundamental part of facial recognition systems. Although much effort has been devoted to anti-spoofing res…
Double-Base Asymmetric AdaBoost
Iago Landesa-Vázquez, José Luis Alba-Castro
Based on the use of different exponential bases to define class-dependent error bounds, a new and highly efficient asymmetric boosting scheme, coined as AdaBoostDB (Double-Base), i…
Shedding Light on the Asymmetric Learning Capability of AdaBoost
Iago Landesa-Vázquez, José Luis Alba-Castro
In this paper, we propose a different insight to analyze AdaBoost. This analysis reveals that, beyond some preconceptions, AdaBoost can be directly used as an asymmetric learning a…
Untangling AdaBoost-based Cost-Sensitive Classification. Part II: Empirical Analysis
Iago Landesa-Vázquez, José Luis Alba-Castro
A lot of approaches, each following a different strategy, have been proposed in the literature to provide AdaBoost with cost-sensitive properties. In the first part of this series…
Untangling AdaBoost-based Cost-Sensitive Classification. Part I: Theoretical Perspective
Iago Landesa-Vázquez, José Luis Alba-Castro
Boosting algorithms have been widely used to tackle a plethora of problems. In the last few years, a lot of approaches have been proposed to provide standard AdaBoost with cost-sen…