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» Decision Detection Using Hierarchical Graphical Models
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CVPR
2007
IEEE
16 years 1 months ago
Hierarchical Matching of Deformable Shapes
We describe a new hierarchical representation for twodimensional objects that captures shape information at multiple levels of resolution. This representation is based on a hierar...
Pedro F. Felzenszwalb, Joshua D. Schwartz
NIPS
2008
15 years 1 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater
NIPS
2008
15 years 1 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
CASES
2003
ACM
15 years 3 months ago
A hierarchical approach for energy efficient application design using heterogeneous embedded systems
Several features such as reconfiguration, voltage and frequency scaling, low-power operating states, duty-cycling, etc. are exploited for latency and energy efficient application ...
Sumit Mohanty, Viktor K. Prasanna
ICAPR
2005
Springer
15 years 5 months ago
A Novel Approach for Text Detection in Images Using Structural Features
We propose a novel approach for finding text in images by using ridges at several scales. A text string is modelled by a ridge at a coarse scale representing its center line and n...
H. Tran, Augustin Lux, H. L. Nguyen T, A. Boucher