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ICPR
2008
IEEE
15 years 11 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
ACCV
2009
Springer
15 years 4 months ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo
ACL
1998
14 years 11 months ago
Improving Automatic Indexing through Concept Combination and Term Enrichment
Although indexes may overlap, the output of an automatic indexer is generally presented as a fiat and unstructured list of terms. Our purpose is to exploit term overlap and embedd...
Christian Jacquemin
AGILEDC
2007
IEEE
15 years 4 months ago
Push to Pull: How Lean Concepts Improve a Data Migration
A complex Enterprise Relationship Planning (ERP) data migration was in trouble: low quality, poor performance, instability, and an overworked team threatened project success. Faci...
Rand Bradley
NLPRS
2001
Springer
15 years 2 months ago
Hierarchical Concept Description and Learning for Information Extraction
This paper addresses the problem of extracting information from textual documents, either normal documents or web pages. A new approach for extracting complicate information from ...
Luo Xiao, Dieter Wissmann, Michael Brown, Stefan J...