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ICPR
2004
IEEE
16 years 5 months ago
Supervised Nonparametric Information Theoretic Classification
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...
Cédric Archambeau, Jean-Philippe Thiran, Mi...
MTA
2007
111views more  MTA 2007»
15 years 4 months ago
Story creation from heterogeneous data sources
There are numerous applications where there is a need to rapidly infer a story about a given subject from a given set of potentially heterogeneous data sources. In this paper, we f...
Marat Fayzullin, V. S. Subrahmanian, Massimiliano ...
KDID
2004
140views Database» more  KDID 2004»
15 years 6 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
SECON
2008
IEEE
15 years 11 months ago
On the Pitfalls of High-Throughput Multicast Metrics in Adversarial Wireless Mesh Networks
—Recent work in multicast routing for wireless mesh networks has focused on metrics that estimate link quality to maximize throughput. Nodes must collaborate in order to compute ...
Jing Dong, Reza Curtmola, Cristina Nita-Rotaru
CVPR
2008
IEEE
16 years 6 months ago
Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition
In this paper we introduce a template-based method for recognizing human actions called Action MACH. Our approach is based on a Maximum Average Correlation Height (MACH) filter. A...
Mikel D. Rodriguez, Javed Ahmed, Mubarak Shah