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IJCAI
2003
13 years 10 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
CCGRID
2009
IEEE
13 years 6 months ago
Resource Information Aggregation in Hierarchical Grid Networks
We propose information aggregation as a method for summarizing the resource-related information, used by the task scheduler. Through this method the information of a set of resour...
Panagiotis C. Kokkinos, Emmanouel A. Varvarigos
WWW
2007
ACM
14 years 9 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
IJCV
2002
129views more  IJCV 2002»
13 years 8 months ago
A Hierarchical Symmetric Stereo Algorithm Using Dynamic Programming
In this paper, a new hierarchical stereo algorithm is presented. The algorithm matches individual pixels in corresponding scanlines by minimizing a cost function. Several cost fun...
G. Van Meerbergen, Maarten Vergauwen, Marc Pollefe...
SIGMOD
1996
ACM
84views Database» more  SIGMOD 1996»
14 years 25 days ago
Change Detection in Hierarchically Structured Information
Detecting and representing changes to data is important for active databases, data warehousing, view maintenance, and version and configuration management. Most previous work in c...
Sudarshan S. Chawathe, Anand Rajaraman, Hector Gar...