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» Learning Relations Using Collocations
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CVPR
2005
IEEE
16 years 4 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
ICIP
2009
IEEE
16 years 3 months ago
Physics-based Illuminant Color Estimation As An Image Semantics Clue
Most algorithms for extracting illuminant chromaticity from arbitrary images, such as the images found on the web, are based on machine learning techniques. We will show how a phy...
DAGM
2008
Springer
15 years 4 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
NAACL
2010
15 years 10 days ago
Reformulating Discourse Connectives for Non-Expert Readers
In this paper we report a behavioural experiment documenting that different lexicosyntactic formulations of the discourse relation of causation are deemed more or less acceptable ...
Advaith Siddharthan, Napoleon Katsos
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 2 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo