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» Learning from Highly Structured Data by Decomposition
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DKE
2006
139views more  DKE 2006»
15 years 3 months ago
Information extraction from structured documents using k-testable tree automaton inference
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. Much of the previous work on IE from structured documents, suc...
Raymond Kosala, Hendrik Blockeel, Maurice Bruynoog...
ALGORITHMICA
2005
76views more  ALGORITHMICA 2005»
15 years 3 months ago
Characterizing History Independent Data Structures
We consider history independent data structures as proposed for study by Naor and Teague [3]. In a history independent data structure, nothing can be learned from the memory repre...
Jason D. Hartline, Edwin S. Hong, Alexander E. Moh...
163
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MICCAI
1998
Springer
15 years 8 months ago
Constrained Elastic Surface Nets: Generating Smooth Surfaces from Binary Segmented Data
This paper describes a method for creating object surfaces from binary-segmented data that are free from aliasing and terracing artifacts. In this method, a net of linked surface n...
Sarah F. Frisken Gibson
ICML
2003
IEEE
16 years 4 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
ISBI
2006
IEEE
16 years 4 months ago
Tissue characterization and detection of dysplasia using scattered light
In this paper, the structural parameters of dysplasia formation in the epithelial tissue are estimated using a stochastic decomposition algorithm (SDM) by means of scattered light...
Fernand S. Cohen, Ezgi Taslidere, Dilip S. Hari