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EPIA
2001
Springer
15 years 11 months ago
Proportional Membership in Fuzzy Clustering as a Model of Ideal Types
The goal of this paper is to further investigate the extreme behaviour of the proportional membership model (FCPM) in contrast to the central tendency of fuzzy c-means (FCM). A dat...
Susana Nascimento, Boris Mirkin, Fernando Moura-Pi...
SIGGRAPH
1992
ACM
15 years 11 months ago
Measuring and modeling anisotropic reflection
A new device for measuringthe spatial reflectancedistributionsof surfaces is introduced, along with a new mathematical model of sniaorropic reflectance. The reflectance model pres...
Gregory J. Ward
ESANN
2006
15 years 8 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
ICML
2010
IEEE
15 years 7 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 7 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...