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ICML
2001
IEEE
16 years 8 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
WWW
2006
ACM
16 years 8 months ago
Background knowledge for ontology construction
In this paper we describe a solution for incorporating background knowledge into the OntoGen system for semi-automatic ontology construction. This makes it easier for different us...
Blaz Fortuna, Marko Grobelnik, Dunja Mladenic
SAC
2009
ACM
16 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ICALT
2009
IEEE
16 years 2 months ago
Using Language Technologies to Diagnose Learner's Conceptual Development
Formative feedback can provide information about how learners develop their competences in a knowledge domain. This information can determine learners’ progress and is essential...
Adriana J. Berlanga, Marco Kalz, Slavi Stoyanov, P...
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
16 years 2 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...