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KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 8 months ago
Multi-class cost-sensitive boosting with p-norm loss functions
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
Aurelie C. Lozano, Naoki Abe
SETN
2004
Springer
16 years 25 days ago
Construction and Repair: A Hybrid Approach to Search in CSPs
Abstract. In order to obtain a solution to a constraint satisfaction problem, constructive methods iteratively extend a consistent partial assignment until all problem variables ar...
Konstantinos Chatzikokolakis, George Boukeas, Pana...
ATAL
2006
Springer
15 years 11 months ago
Ontology-guided learning to improve communication between groups of agents
We present a general method for agents using ontologies as part of their knowledge representation to teach each other concepts to improve their communication and thus cooperation ...
Mohsen Afsharchi, Behrouz H. Far, Jörg Denzin...
ICIP
2004
IEEE
16 years 9 months ago
Soft shape context for iterative closest point registration
This paper introduces a shape descriptor, the soft shape context, motivated by the shape context method. Unlike the original shape context method, where each image point was hard ...
David Liu, Tsuhan Chen
DSP
2007
15 years 7 months ago
Performance comparison between statistical-based and direct data domain STAPs
In the situation that a radar platform is moving very fast, the number of training data used in space-time adaptive processing (STAP) is a major concern. Less number of training d...
Santana Burintramart, Tapan K. Sarkar, Yu Zhang, M...