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» Analysis and Presentation of Results for Mobile Local Search
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ICCV
1999
IEEE
15 years 12 months ago
Dynamic Feature Ordering for Efficient Registration
Existing sequential feature-based registration algorithms involving search typically either select features randomly (eg. the RANSAC[8] approach) or assume a predefined, intuitive...
Tat-Jen Cham, James M. Rehg
ML
2006
ACM
142views Machine Learning» more  ML 2006»
14 years 10 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
DCC
1998
IEEE
15 years 2 months ago
A Locally Optimal Design Algorithm for Block-Based Multi-Hypothesis Motion-Compensated Prediction
Multi-hypothesis motion-compensated prediction extends traditional motion-compensated prediction used in video coding schemes. Known algorithms for block-based multi-hypothesis mo...
Markus Flierl, Thomas Wiegand, Bernd Girod
WSDM
2009
ACM
158views Data Mining» more  WSDM 2009»
15 years 4 months ago
A new visual search interface for web browsing
We introduce a new visual search interface for search engines. The interface is a user-friendly and informative graphical front-end for organizing and presenting search results in...
Songhua Xu, Tao Jin, Francis Chi-Moon Lau
DSN
2007
IEEE
15 years 4 months ago
How Do Mobile Phones Fail? A Failure Data Analysis of Symbian OS Smart Phones
While the new generation of hand-held devices, e.g., smart phones, support a rich set of applications, growing complexity of the hardware and runtime environment makes the devices...
Marcello Cinque, Domenico Cotroneo, Zbigniew Kalba...