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CVPR
2010
IEEE
16 years 2 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
MLDM
2009
Springer
16 years 1 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
ICPR
2008
IEEE
16 years 1 months ago
Detecting shadows of moving vehicles based on HMM
Vehicle detection and classification are invaluable in many transportation systems, such as traffic flow analysis, abnormal events detection, automotive driver assistant systems a...
Yuxuan Wang, Heng-Da Cheng, Juan Shan
FOSSACS
2007
Springer
16 years 21 days ago
Polynomial Constraints for Sets with Cardinality Bounds
Abstract. Logics that can reason about sets and their cardinality bounds are useful in program analysis, program verification, databases, and knowledge bases. This paper presents ...
Bruno Marnette, Viktor Kuncak, Martin C. Rinard
SKG
2006
IEEE
16 years 16 days ago
Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
Yong Wang, Hong-Jie Xing