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» Embedding Heterogeneous Data Using Statistical Models
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CVPR
2006
IEEE
16 years 2 months ago
3D People Tracking with Gaussian Process Dynamical Models
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...
Raquel Urtasun, David J. Fleet, Pascal Fua
110
Voted
APSEC
1999
IEEE
15 years 5 months ago
The Quest for Correct Systems: Model Checking of Diagrams and Datatypes
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...
Jan Philipps, Oscar Slotosch
143
Voted
IEEEPACT
2002
IEEE
15 years 5 months ago
A Framework for Parallelizing Load/Stores on Embedded Processors
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 ...
84
Voted
ICML
2009
IEEE
16 years 1 months ago
A stochastic memoizer for sequence data
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...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
PG
2003
IEEE
15 years 6 months ago
Illustration Watermarks for Vector Graphics
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...