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» Training Methods for Adaptive Boosting of Neural Networks
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CLUSTER
2004
IEEE
14 years 9 months ago
Resource Management for Ad-Hoc Wireless Networks with Cluster Organization
Boosted by technology advancements, government and commercial interest, ad-hoc wireless networks are emerging as a serious platform for distributed mission-critical applications. G...
Ionut Cardei, Srivatsan Varadarajan, Allalaghatta ...
SIGMOD
2006
ACM
129views Database» more  SIGMOD 2006»
15 years 9 months ago
InMAF: indexing music databases via multiple acoustic features
Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration, we present a novel approach ...
Jialie Shen, John Shepherd, Anne H. H. Ngu
CVPR
1999
IEEE
15 years 11 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
SBIA
2004
Springer
15 years 3 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
LREC
2010
145views Education» more  LREC 2010»
14 years 11 months ago
Generic Ontology Learners on Application Domains
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
Francesca Fallucchi, Maria Teresa Pazienza, Fabio ...