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» Learning Object Representations Using Sequential Patterns
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CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
AIEDAM
2011
13 years 5 months ago
Discovering implicit constraints in design
In familiar design domains, expert designers are able to quickly focus on “good designs”, based on constraints they have learned while exploring the design space. This ability ...
Madan Mohan Dabbeeru, Amitabha Mukerjee
ICIP
2006
IEEE
14 years 11 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
AIED
2005
Springer
14 years 3 months ago
Tutorial Planning: Adapting Course Generation to Today's Needs
Most of today’s course generation does not allow an in-depth, generic representation of pedagogical knowledge. However, supporting individual learners with different goals requi...
Carsten Ullrich
ICCV
2003
IEEE
14 years 12 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...