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Publication
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15 years 3 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
CHI
2009
ACM
16 years 5 months ago
Learning design principles for a collaborative information seeking system
While collaboration is a natural choice in many situations, there is a lack of specialized tools for collaboratively seeking information. We present design specifications and impl...
Chirag Shah, Gary Marchionini, Diane Kelly
141
Voted
ICDAR
2009
IEEE
15 years 11 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
OZCHI
2006
ACM
15 years 10 months ago
Learning from interactive museum installations about interaction design for public settings
This paper reports on the evaluation of a digitallyaugmented exhibition on the history of modern media. We discuss visitors’ interaction with installations and corresponding int...
Eva Hornecker, Matthias Stifter
CLOR
2006
15 years 8 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman