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» The Focus Problem in Mobile Learning
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ICML
2002
IEEE
14 years 11 months ago
Multi-Instance Kernels
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
Adam Kowalczyk, Alex J. Smola, Peter A. Flach, Tho...
CN
2008
126views more  CN 2008»
13 years 10 months ago
Design and evaluation of flow handoff signalling for multihomed mobile nodes in wireless overlay networks
With the increasing deployment of wireless overlay networks, a mobile node with a range of network interfaces can be connected to multiple heterogeneous or homogeneous access netw...
Qi Wang, Robert Atkinson, John Dunlop
TMA
2012
Springer
254views Management» more  TMA 2012»
12 years 6 months ago
Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data
Abstract. The signaling traffic of a cellular network is rich of information related to the movements of its devices across cell boundaries. Thus, passive monitoring of anonymized ...
Pierdomenico Fiadino, Danilo Valerio, Fabio Riccia...
JSA
1998
74views more  JSA 1998»
13 years 10 months ago
Windowed active sampling for reliable neural learning
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
Emilia I. Barakova, Lambert Spaanenburg
ICML
2007
IEEE
14 years 11 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi