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» Mobile learning: A framework and evaluation
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ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 7 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
BMVC
2010
13 years 4 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
ICIP
2007
IEEE
14 years 11 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
ISCC
2007
IEEE
14 years 3 months ago
Cost Analysis of the MBMS Multicast Mode of UMTS
Along with the widespread deployment of the third generation cellular networks, the fast-improving capabilities of the mobile devices, content and service providers are increasing...
Antonios G. Alexiou, Christos Bouras, Evangelos Re...
MOMM
2009
ACM
163views Communications» more  MOMM 2009»
14 years 1 months ago
Tools for designing and prototyping activity-based pervasive applications
This paper proposes a new approach for modelling, testing and prototyping pervasive, possibly mobile, and distributed applications. It describes a set of tools aimed at supporting...
Pascal Bruegger, Denis Lalanne, Agnes Lisowska, B&...