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NIPS
2001
13 years 8 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
JECR
2000
167views more  JECR 2000»
13 years 7 months ago
Commercial Scenarios of Digital Agent Deployment: A Functional Classification
The evolution and commercialization of Web Information Systems (WIS) since 1991 has gradually shifted the focus from basic design issues to feedback analysis, visualization techni...
Arno Scharl, Christian Bauer, Marion Kaukal
ACL
2006
13 years 8 months ago
Analysis and Repair of Name Tagger Errors
Name tagging is a critical early stage in many natural language processing pipelines. In this paper we analyze the types of errors produced by a tagger, distinguishing name classi...
Heng Ji, Ralph Grishman
ICDAR
2009
IEEE
13 years 5 months ago
Graph b-Coloring for Automatic Recognition of Documents
In order to reduce the rejection rate of our automatic reading system, we propose to pre-classify the business documents by introducing an Automatic Recognition of Documents stage...
Djamel Gaceb, Véronique Eglin, Frank Lebour...
ICASSP
2011
IEEE
12 years 11 months ago
Using residual vector quantization for image content classification
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Syed Irteza Ali Khan, Christopher F. Barnes