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CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 3 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
MICCAI
2009
Springer
16 years 1 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
LATA
2010
Springer
16 years 1 months ago
Choosing Word Occurrences for the Smallest Grammar Problem
The smallest grammar problem - namely, finding a smallest context-free grammar that generates exactly one sequence - is of practical and theoretical importance in fields such as ...
Rafael Carrascosa, François Coste, Matthias...
ICIAP
2009
ACM
16 years 1 months ago
Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation
A learning-based face hallucination method is proposed in this paper for the reconstruction of a high-resolution face image from a low-resolution observation based on a set of high...
Xiang Ma, Junping Zhang, Chun Qi
ICASSP
2009
IEEE
16 years 1 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch