Abstract— In this paper, we present a novel universal approach which consists in exploring statistics in the compressed frequency domain. This approach is motivated by two main c...
Johann Barbier, Eric Filiol, Kichenakoumar Mayoura
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
We present universal earphones that use both a proximity sensor and a skin conductance sensor and we demonstrate several implicit interaction techniques they achieve by automatica...
This paper proposes a unified efficient and universal scalable video coding framework that supports different scalabilities, such as fine granularity quality, temporal, spatial an...
Feng Wu, Shipeng Li, Rong Yan, Xiaoyan Sun, Ya-Qin...
Temporal reasoning and temporal query languages present di cult research problems of theoretical interest and practical importance. One problem is the chasm between point-based te...