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IJCAI
2003
15 years 3 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
98
Voted
ACSAC
1999
IEEE
15 years 6 months ago
Security Relevancy Analysis on the Registry of Windows NT 4.0
Many security breaches are caused by inappropriate inputs crafted by people with malicious intents. To enhance the system security, we need either to ensure that inappropriate inp...
Wenliang Du, Praerit Garg, Aditya P. Mathur
ICPR
2006
IEEE
16 years 3 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
ICML
2009
IEEE
15 years 9 months ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho
145
Voted
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
16 years 2 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...