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» A System Structure for Adaptive Mobile Applications
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126
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ISEM
2008
129views more  ISEM 2008»
15 years 1 months ago
User requirements of mobile technology: results from a content analysis of user reviews
Advanced mobile technology continues to shape professional environments. Smart cell phones, pocket computers and laptop computers reduce the need of users to remain close to a wir...
Judith Gebauer, Ya Tang, Chaiwat Baimai
ICIP
2007
IEEE
16 years 3 months ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
93
Voted
SIGMOD
2004
ACM
128views Database» more  SIGMOD 2004»
16 years 1 months ago
A context-aware methodology for very small data base design
The design of a Data Base to be resident on portable devices and embedded processors for professional systems requires considering both the device memory peculiarities and the mobi...
Cristiana Bolchini, Fabio A. Schreiber, Letizia Ta...
ICASSP
2011
IEEE
14 years 5 months ago
Learning non-parametric models of pronunciation
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
Brian Hutchinson, Jasha Droppo
DKE
1998
88views more  DKE 1998»
15 years 1 months ago
Temporal Grid File: A File Structure for Interval Data
Disk I/O is a major bottleneck for query processing in database applications. This bottleneck is especially a problem for temporal databases because of their large size. Reduction...
Chiang Lee, Te-Ming Tseng