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» Hidden Markov Models with Multiple Observation Processes
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ECML
2006
Springer
15 years 7 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
138
Voted
IJHR
2008
119views more  IJHR 2008»
15 years 3 months ago
Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Tamim Asfour, Pedram Azad, Florian Gyarfas, Rü...
107
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...
ICASSP
2009
IEEE
15 years 7 months ago
Graphical Models: Statistical inference vs. determination
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
Joachim Schenk, Benedikt Hörnler, Artur Braun...
121
Voted
LREC
2010
150views Education» more  LREC 2010»
15 years 5 months ago
Evaluation of HMM-based Models for the Annotation of Unsegmented Dialogue Turns
Corpus-based dialogue systems rely on statistical models, whose parameters are inferred from annotated dialogues. The dialogues are usually annotated using Dialogue Acts (DA), and...
Carlos D. Martínez-Hinarejos, Vicent Tamari...