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MICCAI
2003
Springer
14 years 8 months ago
Generalized Image Models and Their Application as Statistical Models of Images
A generalized image model (GIM) is presented. Images are represented as sets of four-dimensional (4D) sites combining position and intensity information, as well as their associat...
Miguel Ángel González Ballester, Xav...
TACAS
2004
Springer
132views Algorithms» more  TACAS 2004»
14 years 29 days ago
Numerical vs. Statistical Probabilistic Model Checking: An Empirical Study
Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We ...
Håkan L. S. Younes, Marta Z. Kwiatkowska, Ge...
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 5 months ago
Scheduling with Rate Adaptation under Incomplete Knowledge of Channel/Estimator Statistics
In time-varying wireless networks, the states of the communication channels are subject to random variations, and hence need to be estimated for efficient rate adaptation and sched...
Wenzhuo Ouyang, Sugumar Murugesan, Atilla Eryilmaz...
NIPS
2007
13 years 9 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...
SIBGRAPI
2006
IEEE
14 years 1 months ago
A Statistical Discriminant Model for Face Interpretation and Reconstruction
Multivariate statistical approaches have played an important role of recognising face images and characterizing their differences. In this paper, we introduce the idea of using a ...
Edson C. Kitani, Carlos E. Thomaz, Duncan Fyfe Gil...