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ICMAS
1998
13 years 10 months ago
A Meta-Model for the Analysis and Design of Organizations in Multi-Agent Systems
This paper presents a generic meta-model of multi-agent systems based on organizational concepts such as groups, roles and structures. This model, called AALAADIN, defines a very ...
Jacques Ferber, Olivier Gutknecht
ICML
2010
IEEE
13 years 10 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...
ECCV
2010
Springer
13 years 9 months ago
Object Recognition with Hierarchical Stel Models
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
Alessandro Perina, Nebojsa Jojic, Umberto Castella...
ICPR
2002
IEEE
14 years 10 months ago
Linear and Non-Linear Model for Statistical Localization of Landmarks
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and s...
Barbara Romaniuk, Michel Desvignes, Marinette Reve...
ASAP
2007
IEEE
122views Hardware» more  ASAP 2007»
14 years 3 months ago
Parallelizing HMMER for Hardware Acceleration on FPGAs
Profile based Hidden Markov Model is a widely used tool in bioinformatics. While being very valuable to biologists, it is extremely compute intensive and suffers from prohibitive...
Steven Derrien, Patrice Quinton