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» Learning Models for Multi-Source Integration
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NIPS
2001
15 years 1 months ago
The Infinite Hidden Markov Model
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
Matthew J. Beal, Zoubin Ghahramani, Carl Edward Ra...
ICPR
2008
IEEE
16 years 1 months ago
A discriminative semi-Markov model for robust scene text recognition
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
IEEEARES
2009
IEEE
15 years 6 months ago
An Architectural Foundation for Security Model Sharing and Reuse
Within the field of software security we have yet to find efficient ways on how to learn from past mistakes and integrate security as a natural part of software development. Th...
Per Håkon Meland, Shanai Ardi, Jostein Jense...
ICWE
2004
Springer
15 years 5 months ago
Model-Driven Design of Web Applications with Client-Side Adaptation
Abstract. In this paper, we integrate WebML, a high-level model and technology for building server-side Web applications, with UML-Guide, a UML-based system that generates client-s...
Stefano Ceri, Peter Dolog, Maristella Matera, Wolf...
COLING
2010
14 years 6 months ago
Multilingual Subjectivity: Are More Languages Better?
While subjectivity related research in other languages has increased, most of the work focuses on single languages. This paper explores the integration of features originating fro...
Carmen Banea, Rada Mihalcea, Janyce Wiebe