Sciweavers

704 search results - page 121 / 141
» Exploiting Data Missingness in Bayesian Network Modeling
Sort
View
82
Voted
IDEAL
2000
Springer
15 years 2 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
CVIU
2004
125views more  CVIU 2004»
14 years 10 months ago
Automatic description of complex buildings from multiple images
We present an approach for detecting and describing complex buildings with flat or complex rooftops by using multiple, overlapping images of the scene. We find 3-D rooftop boundar...
Zu Whan Kim, Ramakant Nevatia
75
Voted
WIOPT
2006
IEEE
15 years 4 months ago
Flow-level stability of channel-aware scheduling algorithms
— Channel-aware scheduling strategies provide an effective mechanism for improving the throughput performance in wireless data networks by exploiting channel fluctuations. The p...
Sem C. Borst, Matthieu Jonckheere
IPPS
1999
IEEE
15 years 3 months ago
Process Networks as a High-Level Notation for Metacomputing
Abstract. Our work involves the development of a prototype Geographical Information System GIS as an example of the use of process networks as a well-de ned high-level semantic mod...
Darren Webb, Andrew L. Wendelborn, Kevin Maciunas
WWW
2011
ACM
14 years 5 months ago
Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades
Providers such as YouTube offer easy access to multimedia content to millions, generating high bandwidth and storage demand on the Content Delivery Networks they rely upon. More ...
Salvatore Scellato, Cecilia Mascolo, Mirco Musoles...