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» Mobile learning: A framework and evaluation
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VLDB
2002
ACM
108views Database» more  VLDB 2002»
13 years 8 months ago
Energy-performance trade-offs for spatial access methods on memory-resident data
Abstract. The proliferation of mobile and pervasive computing devices has brought energy constraints into the limelight. Energy-conscious design is important at all levels of syste...
Ning An, Sudhanva Gurumurthi, Anand Sivasubramania...
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
13 years 10 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
MMS
2006
13 years 9 months ago
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, ...
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
14 years 3 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
CVPR
2007
IEEE
14 years 11 months ago
Accurate Object Localization with Shape Masks
This paper proposes an approach for object class localization which goes beyond bounding boxes, as it also determines the outline of the object. Unlike most current localization m...
Marcin Marszalek, Cordelia Schmid