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» Ink recognition based on statistical classification methods
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ACL
1997
13 years 10 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi
FLAIRS
2009
13 years 6 months ago
Memory Based Goal Schema Recognition
We propose a memory-based approach to the problem of goal-schema recognition. We use a generic episodic memory module to perform incremental goal schema recognition and to build t...
Dan Tecuci, Bruce W. Porter
ECML
2001
Springer
14 years 1 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
CIKM
2009
Springer
14 years 3 months ago
Graph classification based on pattern co-occurrence
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
Ning Jin, Calvin Young, Wei Wang
EMNLP
2007
13 years 10 months ago
A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
Speech recognition transcripts are far from perfect; they are not of sufficient quality to be useful on their own for spoken document retrieval. This is especially the case for c...
Tee Kiah Chia, Haizhou Li, Hwee Tou Ng