We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
For the practical development of provably correct software for embedded systems the close integration of CASE tools and verification tools is required. This paper describes the co...
Many modern embedded processors (esp. DSPs) support partitioned memory banks (also called X-Y memory or dual bank memory) along with parallel load/store instructions to achieve co...
Xiaotong Zhuang, Santosh Pande, John S. Greenland ...
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Digital watermarking is a technique for embedding information into data, such as images, 3D models, or audio files, such that some properties (i. e., security, imperceptibility, ...
Henry Sonnet, Tobias Isenberg, Jana Dittmann, Thom...