Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
—In this paper, we study a new class of attacks, the invisible LOCalization (iLOC) attack, which can accurately and invisibly localize monitors of Internet threat monitoring (ITM...
Smart environments and wearables will make the storage and subsequent sharing of digitized multimedia diaries and meeting protocols – whom we meet, or what we say or do – chea...