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» Hierarchical Text Categorization Using Neural Networks
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AI
2008
Springer
14 years 11 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
87
Voted
NCI
2004
185views Neural Networks» more  NCI 2004»
14 years 11 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
JMLR
2010
230views more  JMLR 2010»
14 years 4 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
ICDAR
2005
IEEE
15 years 3 months ago
Text Recognition of Low-resolution Document Images
Cheap and versatile cameras make it possible to easily and quickly capture a wide variety of documents. However, low resolution cameras present a challenge to OCR because it is vi...
Charles E. Jacobs, Patrice Y. Simard, Paul A. Viol...
ICANN
2005
Springer
15 years 3 months ago
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps
We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional ...
Mats Sjöberg, Jorma Laaksonen