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» Probabilistic Neural Network Models for Sequential Data
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IJCNN
2008
IEEE
14 years 2 months ago
Incremental Common Spatial Pattern algorithm for BCI
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li
CIDM
2009
IEEE
14 years 2 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
FLAIRS
2001
13 years 9 months ago
A Method for Evaluating Elicitation Schemes for Probabilities
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
CVIU
2008
118views more  CVIU 2008»
13 years 8 months ago
Multimodal person authentication using speech, face and visual speech
This paper presents a method for automatic multimodal person authentication using speech, face and visual speech modalities. The proposed method uses the motion information to loc...
S. Palanivel, B. Yegnanarayana
CCS
2004
ACM
14 years 1 months ago
Parallel mixing
Efforts to design faster synchronous mix networks have focused on reducing the computational cost of mixing per server. We propose a different approach: our re-encryption mixnet...
Philippe Golle, Ari Juels