Sciweavers

46 search results - page 2 / 10
» Hierarchically Classifying Documents Using Very Few Words
Sort
View
COLING
2008
13 years 6 months ago
An Improved Hierarchical Bayesian Model of Language for Document Classification
This paper addresses the fundamental problem of document classification, and we focus attention on classification problems where the classes are mutually exclusive. In the course ...
Ben Allison
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
13 years 3 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi
ICDAR
2007
IEEE
13 years 11 months ago
A Shared Parts Model for Document Image Recognition
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
M. Das Gupta, P. Sarkar
SIGIR
2005
ACM
13 years 10 months ago
Boosted decision trees for word recognition in handwritten document retrieval
Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
Nicholas R. Howe, Toni M. Rath, R. Manmatha
AAAI
2004
13 years 6 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu