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» Generating from a Deep Structure
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VIS
2004
IEEE
137views Visualization» more  VIS 2004»
14 years 8 months ago
Generating Realistic Images from Hydrothermal Plume Data
Most data used in the study of seafloor hydrothermal plumes consists of sonar (acoustic) scans and sensor readings. Visual data captures only a portion of the sonar data range due...
Deborah Silver, Jamshed Dastur, Karen G. Bemis, Kr...
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 2 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...
SSDBM
2008
IEEE
149views Database» more  SSDBM 2008»
14 years 1 months ago
Query Planning for Searching Inter-dependent Deep-Web Databases
Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming what is referred to as the deep web. It is desirable to have systems that can pr...
Fan Wang, Gagan Agrawal, Ruoming Jin
CGF
2008
200views more  CGF 2008»
13 years 7 months ago
Deep Opacity Maps
We present a new method for rapidly computing shadows from semi-transparent objects like hair. Our deep opacity maps method extends the concept of opacity shadow maps by using a d...
Cem Yuksel, John Keyser
ASYNC
2006
IEEE
72views Hardware» more  ASYNC 2006»
14 years 1 months ago
Measuring Deep Metastability
Present measurement techniques do not allow synchronizer reliability to be measured in the region of most interest, that is, beyond the first half cycle of the synchronizer clock....
David Kinniment, Keith Heron, Gordon Russell