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NIPS
1998
15 years 1 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
105
Voted
IIR
2010
15 years 1 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
98
Voted
ICIP
2009
IEEE
14 years 10 months ago
3D arm movement tracking using adaptive particle filter
In this paper, we present a monocular 3D arm movement tracking system using adaptive particle filter. The effective sample size (ESS) is analyzed in the adaptive particle filter t...
Feng Guo, Gang Qian
89
Voted
NETWORKING
2007
15 years 1 months ago
The Token Based Switch: Per-Packet Access Authorisation to Optical Shortcuts
Abstract. Our Token Based Switch (TBS) implementation shows that a packetbased admission control system can be used to dynamically select a fast end-to-end connection over a hybrid...
Mihai-Lucian Cristea, Leon Gommans, Li Xu, Herbert...
100
Voted
ECCV
2000
Springer
16 years 2 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...