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ICML
2010
IEEE
15 years 22 days ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ICUIMC
2009
ACM
15 years 6 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
15 years 8 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
HICSS
2003
IEEE
127views Biometrics» more  HICSS 2003»
15 years 5 months ago
Storage Model for CDA Documents
The Health Level 7 Clinic Document Architecture (CDA) is an XML-based document markup standard that specifies the hierarchical structure and semantics of “clinical documents” ...
Zheng Liang, Peter Bodorik, Michael Shepher
87
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AMR
2007
Springer
167views Multimedia» more  AMR 2007»
15 years 5 months ago
Ontology: Use and Abuse
This paper is a critical analysis of the use of ontology as an instrument to specify the semantics of a document. The paper argue that not only is a logic of the type used in ontol...
Simone Santini