6 papers
Slack Norm Support Vector Data Description
Shervin R. Arashloo
The support vector data description (SVDD) approach serves as a de facto standard for one-class classification where the learning task entails inferring the smallest hyper-sphere t…
Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression
Shervin Rahimzadeh Arashloo
The paper addresses face presentation attack detection in the challenging conditions of an unseen attack scenario where the system is exposed to novel presentation attacks that wer…
Multi-Task Kernel Null-Space for One-Class Classification
Shervin Rahimzadeh Arashloo, Josef Kittler
The one-class kernel spectral regression (OC-KSR), the regression-based formulation of the kernel null-space approach has been found to be an effective Fisher criterion-based metho…
Robust One-Class Kernel Spectral Regression
Shervin Rahimzadeh Arashloo, Josef Kittler
The kernel null-space technique and its regression-based formulation (called one-class kernel spectral regression, a.k.a. OC-KSR) is known to be an effective and computationally at…
Client-Specific Anomaly Detection for Face Presentation Attack Detection
Shervin Rahimzadeh Arashloo, Josef Kittler
The one-class anomaly detection approach has previously been found to be effective in face presentation attack detection, especially in an \textit{unseen} attack scenario, where th…
One-Class Kernel Spectral Regression
Shervin Rahimzadeh Arashloo, Josef Kittler
The paper introduces a new efficient nonlinear one-class classifier formulated as the Rayleigh quotient criterion optimisation. The method, operating in a reproducing kernel Hilber…