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ICML
2007
IEEE
14 years 8 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
IROS
2006
IEEE
141views Robotics» more  IROS 2006»
14 years 1 months ago
Layered HMM for Motion Intention Recognition
— We evaluate Layered Hidden Markov Models (LHMM) for motion intention recognition based on actionprimitives or gestemes. The proposed methodology uses three different HMM models...
Daniel Aarno, Danica Kragic
IMCSIT
2010
13 years 2 months ago
Development of a Voice Control Interface for Navigating Robots and Evaluation in Outdoor Environments
In this paper the development of a prototypic mobile voice control for navigating autonomous robots within a multi robot system is described. As basis for the voice control a hidde...
Ravi Coote
BMCBI
2011
13 years 2 months ago
Accurate statistics for local sequence alignment with position-dependent scoring by rare-event sampling
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
Stefan Wolfsheimer, Inke Herms, Sven Rahmann, Alex...
NAACL
1994
13 years 8 months ago
Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System
In addressing the problem of achieving high-accuracy real-time speech recognition systems, we focus on recognizing speech from ARPA's20,000-word Wall Street Journal (WSJ) tas...
Hy Murveit, Peter Monaco, Vassilios Digalakis, Joh...