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ICML
2010
IEEE
15 years 5 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
ICIP
2007
IEEE
15 years 4 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
JNCA
2007
179views more  JNCA 2007»
15 years 4 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
ACTA
2002
86views more  ACTA 2002»
15 years 4 months ago
Deriving and paraphrasing information grammars using object-oriented analysis models
Abstract. In this paper the focus is on object-oriented analysis of information systems. We assume that the communication within an application domain can be described by a logbook...
Paul J. M. Frederiks, Theo P. van der Weide
ICSE
2007
IEEE-ACM
16 years 4 months ago
Modeling the Effect of Size on Defect Proneness for Open-Source Software
Quality is becoming increasingly important with the continuous adoption of open-source software. Previous research has found that there is generally a positive relationship betwee...
Akif Günes Koru, Dongsong Zhang, Hongfang Liu