Jun 20, 2016 · In this paper, a novel approximate solution of the criterion used in non-linear class-specific discriminant subspace learning is proposed.

Abstract—In this paper, a novel approximate solution of the criterion used in non-linear class-specific discriminant subspace learning is proposed.

Dive into the research topics of 'Scaling up Class-Specific Kernel Discriminant Analysis for large-scale Face Verification'. Together they form a unique ...

In this paper, we revisit class-specific kernel discriminant analysis (KDA) formulation, which has been applied in various problems, such as human face ...

The approximate class-specific kernel spectral regression (ACS-KSR) method is a powerful tool for face verification. This method consists of two steps: an ...

A method for nonlinear class-specific discriminant learning that is based on Cholesky Decomposition is described and it is shown that the optimization ...

Mar 21, 2022 · Scaling up class-specific kernel discriminant analysis for large-scale face verification. IEEE Transactions on Information Forensics and ...

Aug 31, 2017 · Abstract—Face verification is a problem approached in the literature mainly using nonlinear class-specific subspace learning techniques.

Gabbouj, “Scaling up Class-Specific Kernel Discriminant Analysis for large-scale Face Verification”, IEEE Transactions on Information Forensics and Security ...

In this paper, a novel approximate solution of the criterion used in non-linear class-specific discriminant subspace learning is proposed.