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CVPR
2010
IEEE
15 years 6 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
NIPS
2007
14 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
CVPR
2008
IEEE
15 years 11 months ago
A statistical deformation prior for non-rigid image and shape registration
Non-rigid registration is central to many problems in computer vision and medical image analysis. We propose a registration algorithm which is regularized by prior knowledge in th...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
HICSS
2000
IEEE
131views Biometrics» more  HICSS 2000»
15 years 2 months ago
Workflow-based Process Monitoring and Controlling - Technical and Organizational Issues
Workflow management systems enable the exact and timely analysis of automated business processes through the analysis of the logged audit trail data. Within the research project C...
Michael zur Muehlen, Michael Rosemann
ICCD
2007
IEEE
120views Hardware» more  ICCD 2007»
15 years 6 months ago
Statistical timing analysis using Kernel smoothing
We have developed a new statistical timing analysis approach that does not impose any assumptions on the nature of manufacturing variability and takes into account an arbitrary mo...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...