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» Input Modeling Using Quantile Statistical Methods
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AAAI
1998
15 years 2 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies
96
Voted
ICAC
2005
IEEE
15 years 6 months ago
Dynamic Black-Box Performance Model Estimation for Self-Tuning Regulators
Methods for automatically managing the performance of computing services must estimate a performance model of that service. This paper explores properties that are necessary for p...
Magnus Karlsson, Michele Covell
113
Voted
ICIP
2009
IEEE
16 years 1 months ago
Illumination Invariant And Rotational Insensitive Textural Representation
We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and te...
129
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...
88
Voted
MICCAI
2000
Springer
15 years 4 months ago
Retrospective Correction of MR Intensity Inhomogeneity by Information Minimization
In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed,...
Bostjan Likar, Max A. Viergever, Franjo Pernus