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IJCNLP
2005
Springer
14 years 1 months ago
Regularisation Techniques for Conditional Random Fields: Parameterised Versus Parameter-Free
Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation when applying these models to real-world NLP data sets. Conventional approaches to regu...
Andrew Smith, Miles Osborne
BIOID
2008
103views Biometrics» more  BIOID 2008»
13 years 9 months ago
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...
RSS
2007
176views Robotics» more  RSS 2007»
13 years 9 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
ICASSP
2007
IEEE
14 years 1 months ago
Discriminative Gaussian Mixtures for Interactive Image Segmentation
Recently graph-cut optimization has been extensively explored for interactive image segmentation. In this paper we propose Discriminative Gaussian Mixtures (DGMs) to boost the per...
Jue Wang
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 22 days ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt