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» Ontological Framework for Approximation
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ICPR
2008
IEEE
16 years 7 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
PERVASIVE
2004
Springer
15 years 11 months ago
Adaptive On-Device Location Recognition
Abstract. Location-awareness is useful for mobile and pervasive computing. We present a novel adaptive framework for recognizing personally important locations in cellular networks...
Kari Laasonen, Mika Raento, Hannu Toivonen
ICARIS
2007
Springer
15 years 9 months ago
Defence Against 802.11 DoS Attacks Using Artificial Immune System
In this paper we present an Artificial Immune System (AIS) based security framework, which prevents a number of serious Denial of Service (DoS) attacks. The proposed security frame...
M. Zubair Shafiq, Muddassar Farooq
CVPR
2005
IEEE
16 years 8 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
VISUALIZATION
1998
IEEE
15 years 10 months ago
Smooth view-dependent level-of-detail control and its application to terrain rendering
The key to real-time rendering of large-scale surfaces is to locally adapt surface geometric complexity to changing view parameters. Several schemes have been developed to address...
Hugues Hoppe