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ICIP
2005
IEEE
15 years 10 months ago
Medical image registration based on random line sampling
One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distribute...
Anton Bardera, Miquel Feixas, Imma Boada, Mateu Sb...
121
Voted
CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
15 years 9 months ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
NIPS
2004
15 years 6 months ago
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning
We consider the situation in semi-supervised learning, where the "label sampling" mechanism stochastically depends on the true response (as well as potentially on the fe...
Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie
147
Voted
WSCG
2003
145views more  WSCG 2003»
15 years 6 months ago
Real-Time Soft Shadows Using a Single Light Sample
We present a real-time rendering algorithm that generates soft shadows of dynamic scenes using a single light sample. As a depth-map algorithm it can handle arbitrary shadowed sur...
Florian Kirsch, Jürgen Döllner
ECAI
2010
Springer
15 years 6 months ago
Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...
Daan Fierens