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» Selectivity Estimation using Probabilistic Models
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111
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CVPR
2008
IEEE
16 years 4 months ago
Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
Georgios Evangelopoulos, Petros Maragos
109
Voted
CHI
2006
ACM
16 years 3 months ago
The affective remixer: personalized music arranging
This paper describes a real-time music-arranging system that reacts to immediate affective cues from a listener. Data was collected on the potential of certain musical dimensions ...
Jae-woo Chung, G. Scott Vercoe
142
Voted
ACL
2011
14 years 6 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...
117
Voted
CSDA
2007
120views more  CSDA 2007»
15 years 2 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder
155
Voted
DT
2006
98views more  DT 2006»
15 years 2 months ago
Handling variations and uncertainties
The widely used engineering decisions concerning the performance of technological equipment for process industries are usually deterministic. Since the early 1990s probabilistic m...
Tim Cheng