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PERVASIVE
2006
Springer
14 years 9 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...
AR
2007
204views more  AR 2007»
14 years 9 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
TSMC
2011
292views more  TSMC 2011»
14 years 4 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 4 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
MM
2004
ACM
170views Multimedia» more  MM 2004»
15 years 2 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si