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113
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MMM
2007
Springer
135views Multimedia» more  MMM 2007»
15 years 9 months ago
Ontology-Based Annotation of Paintings Using Transductive Inference Framework
Domain-specific knowledge of paintings defines a wide range of concepts for annotation and flexible retrieval of paintings. In this work, we employ the ontology of artistic concept...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain
EMMCVPR
2005
Springer
15 years 8 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
137
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GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 6 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
134
Voted
UAI
2003
15 years 4 months ago
Strong Faithfulness and Uniform Consistency in Causal Inference
A fundamental question in causal inference is whether it is possible to reliably infer the manipulation effects from observational data. There are a variety of senses of asymptot...
Jiji Zhang, Peter Spirtes
171
Voted
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)