Sciweavers

1315 search results - page 77 / 263
» Discovering Classification from Data of Multiple Sources
Sort
View
ICPR
2008
IEEE
14 years 9 months ago
Classification of perceived running fatigue in digital sports
This paper presents methods for collecting and analyzing physiological and biomechanical data during recreational runs in order to classify an athlete's perceived fatigue sta...
Bjoern Eskofier, Florian Hoenig, Pascal Kuehner
KDID
2004
481views Database» more  KDID 2004»
13 years 9 months ago
Models and Indices for Integrating Unstructured Data with a Relational Database
Abstract. Database systems are islands of structure in a sea of unstructured data sources. Several real-world applications now need to create bridges for smooth integration of semi...
Sunita Sarawagi
ICSOFT
2007
13 years 9 months ago
Interoperating Context Discovery Mechanisms
Context-Aware applications adapt their behaviour to the current situation of the user. This information, for instance user location and user availability, is called context informa...
Tom Broens, Remco Poortinga, Jasper Aarts
ECCV
2010
Springer
14 years 7 days ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
IEEECIT
2010
IEEE
13 years 6 months ago
Superblock-Based Source Code Optimizations for WCET Reduction
—Superblocks represent regions in a program code that consist of multiple basic blocks. Compilers benefit from this structure since it enables optimization across block boundari...
Paul Lokuciejewski, Timon Kelter, Peter Marwedel