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SASO
2008
IEEE
14 years 5 months ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...
EUC
2005
Springer
14 years 4 months ago
Middleware Architecture for Context Knowledge Discovery in Ubiquitous Computing
Advanced analysis of data for extracting useful knowledge is the next natural step in the world of ubiquitous computing. So far, most of the ubiquitous systems process knowledge in...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
CVPR
2011
IEEE
13 years 7 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
ECTEL
2007
Springer
14 years 5 months ago
Smart Indicators on Learning Interactions
Indicators help actors to organise, orientate and navigate through complex environments by providing contextual information relevant for the performance of learning tasks. In this ...
Christian Glahn, Marcus Specht, Rob Koper
ICML
2007
IEEE
14 years 11 months ago
Trust region Newton methods for large-scale logistic regression
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method t...
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi