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IBERAMIA
2004
Springer
14 years 26 days ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
NIPS
2001
13 years 8 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
ICPR
2008
IEEE
14 years 8 months ago
Neural net vector quantizers for discrete HMM-based on-line handwritten whiteboard-note recognition
In this work we evaluate a recently published vector quantization scheme, which has been developed to handle binary features like the pressure feature occurring in on-line handwri...
Gerhard Rigoll, Joachim Schenk
RIAO
2000
13 years 8 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...
NIPS
2004
13 years 8 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve