307 search results - page 6 / 62 » Classification Using a Hierarchical Bayesian Approach |
144
Voted
AIPR
2005
IEEE
15 years 9 months ago
2005
IEEE
Diffuse Optical Tomography (DOT) poses a typical illposed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hi...
139
Voted
CORR
2008
Springer
15 years 3 months ago
2008
Springer
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
136
Voted
ESANN
2004
15 years 5 months ago
2004
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
173
Voted
ACCV
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
144
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TASLP
2010
14 years 10 months ago
2010
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...