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» A probabilistic framework for relational clustering
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CONTEXT
2007
Springer
15 years 5 months ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
CVPR
1999
IEEE
16 years 1 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
CISST
2004
164views Hardware» more  CISST 2004»
15 years 1 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ICPR
2010
IEEE
14 years 9 months ago
Word Clustering Using PLSA Enhanced with Long Distance Bigrams
Probabilistic latent semantic analysis is enhanced with long distance bigram models in order to improve word clustering. The long distance bigram probabilities and the interpolate...
Nikoletta Bassiou, Constantine Kotropoulos
SSPR
2004
Springer
15 years 5 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja