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AAAI
2008
15 years 2 months ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
ICASSP
2011
IEEE
14 years 3 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
ICRA
2006
IEEE
112views Robotics» more  ICRA 2006»
15 years 5 months ago
Generic Differential Kinematic Modeling of Articulated Multi-monocycle Mobile Robots
— This paper presents a generic kinematic modeling approach for articulated multi-monocycle mobile robots. The formulation proposed to deduce the input/output velocity equations ...
Frederic Le Menn, Philippe Bidaud, Faïz Ben A...
ICIP
2002
IEEE
15 years 4 months ago
Head pose estimation using Gabor eigenspace modeling
In this paper, an approach towards head pose estimation is introduced based on Gabor eigenspace modeling. Gabor filter is used to enhance pose information and eliminate other dist...
Yucheng Wei, Ludovic Fradet, Tieniu Tan
DATE
2005
IEEE
139views Hardware» more  DATE 2005»
15 years 5 months ago
Statistical Timing Analysis with Extended Pseudo-Canonical Timing Model
— State of the art statistical timing analysis (STA) tools often yield less accurate results when timing variables become correlated due to global source of variations and path r...
Lizheng Zhang, Weijen Chen, Yuhen Hu, Charlie Chun...