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» How to process uncertainty in machine learning
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IVC
2008
182views more  IVC 2008»
13 years 8 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
ECML
2007
Springer
14 years 3 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
MLMI
2004
Springer
14 years 2 months ago
The NITE XML Toolkit Meets the ICSI Meeting Corpus: Import, Annotation, and Browsing
The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe work in progress to explore its potential for the AMI project by appl...
Jean Carletta, Jonathan Kilgour
FLAIRS
2007
13 years 11 months ago
Document Semantic Annotation for Intelligent Tutoring Systems: A Concept Mapping Approach
The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
Amal Zouaq, Roger Nkambou, Claude Frasson
ICASSP
2010
IEEE
13 years 9 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...