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WSC
2001
14 years 11 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
CVPR
2010
IEEE
15 years 6 months ago
Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction
Historically non-rigid shape recovery and articulated pose estimation have evolved as separate fields. Recent methods for non-rigid shape recovery have focused on improving the a...
Mathieu Salzmann, Raquel Urtasun
TSP
2008
103views more  TSP 2008»
14 years 9 months ago
Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood
Abstract-- We consider distributed parameter estimation using quantized observations in wireless sensor networks where due to bandwidth constraint, each sensor quantizes its local ...
Jun Fang, Hongbin Li
ECCV
1998
Springer
15 years 11 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger
JPDC
2007
177views more  JPDC 2007»
14 years 9 months ago
Adaptive decomposition and remapping algorithms for object-space-parallel direct volume rendering of unstructured grids
Object space (OS) parallelization of an efficient direct volume rendering algorithm for unstructured grids on distributed-memory architectures is investigated. The adaptive OS de...
Cevdet Aykanat, Berkant Barla Cambazoglu, Ferit Fi...