629 search results - page 59 / 126 » Learning and Forgetting with Local Information of New Object... |
101
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We extend the PAC-Bayes theorem to the sample-compression setting where each classifier is represented by two independent sources of information: a compression set which consists ...
152
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
157
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MICCAI
2005
Springer
16 years 5 months ago
2005
Springer
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
135
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MICCAI
1999
Springer
15 years 8 months ago
1999
Springer
We present a new metaphor for learning anatomy - the 3d puzzle. With this metaphor students learn anatomic relations by assembling a geometric model themselves. For this purpose, a...
161
Voted
ICCV
1995
IEEE
15 years 7 months ago
1995
IEEE
Recognition systems attempt to recover information about the identity of observed objects and their location in the environment. A fundamental problem in recognition is pose estima...