3982 search results - page 424 / 797 » Learning to Recognize Objects |
181
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ML
2006
ACM
15 years 6 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
199
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ETS
2002
IEEE
15 years 6 months ago
2002
IEEE
For almost a century, the Harvard Business School has used case studies as the basis for experiential learning in both MBA and Executive Education courses. This article presents a...
205
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ML
2012
ACM
14 years 2 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
181
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
168
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UIST
2004
ACM
16 years 6 days ago
2004
ACM
A long standing challenge in pen-based computer interaction is the ability to make sense of informal sketches. A main difficulty lies in reliably extracting and recognizing the i...