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ICIP
2004
IEEE
16 years 8 months ago
Automatically learning structural units in educational videos with the hierarchical hidden markov models
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
ICML
2001
IEEE
16 years 7 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
IMC
2007
ACM
15 years 8 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
OTM
2005
Springer
16 years 2 days ago
A Model of Pervasive Services for Service Composition
We propose a formal definition of a pervasive service model targeting the very dynamic environments typical of mobile application scenarios. The model is based on a requirement an...
Caroline Funk, Christoph Kuhmünch, Christoph ...
CVPR
2001
IEEE
16 years 8 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb