1364 search results - page 79 / 273 » Sampling Methods for Unsupervised Learning |
110
Voted
NIPS
2003
15 years 3 months ago
2003
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
88
Voted
CSE
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper describes a method of applying a reinforcement learning artificial intelligence to categorize audio files by mood based on listener response during a performance. The s...
125
Voted
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
133
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
113
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ECTEL
2007
Springer
15 years 8 months ago
2007
Springer
As metadata is often not sufficiently provided by authors of Learning Resources, automatic metadata generation methods are used to create metadata afterwards. One kind of metadata ...