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MIAR
2010
IEEE
13 years 3 months ago
Hidden Markov Model for Quantifying Clinician Expertise in Flexible Instrument Manipulation
Clinicians are trained to manipulate a colonoscope while minimizing the force exerted on the colon walls to reduce the danger of luminal perforation and discomfort to the patient. ...
Jagadeesan Jayender, Raúl San José E...
ICASSP
2010
IEEE
13 years 3 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...
TASLP
2008
154views more  TASLP 2008»
13 years 4 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
PRL
2006
191views more  PRL 2006»
13 years 4 months ago
Applications of hidden Markov models in bar code decoding
We present a novel approach to edge detection in bar code signals using a hidden Markov model (HMM). We also present an algorithm for selection of an optimal filter scale used in ...
S. Kresic-Juric, D. Madej, Fadil Santosa
PAMI
2006
109views more  PAMI 2006»
13 years 4 months ago
Offline Grammar-Based Recognition of Handwritten Sentences
This paper proposes a sequential coupling of a Hidden Markov Model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using Sto...
Matthias Zimmermann, Jean-Cédric Chappelier...
IDA
2006
Springer
13 years 4 months ago
Structural hidden Markov models: An application to handwritten numeral recognition
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Djamel Bouchaffra, Jun Tan
DATAMINE
2006
83views more  DATAMINE 2006»
13 years 5 months ago
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Djamel Bouchaffra, Jun Tan
BMCBI
2007
135views more  BMCBI 2007»
13 years 5 months ago
Sequence similarity is more relevant than species specificity in probabilistic backtranslation
Background: Backtranslation is the process of decoding a sequence of amino acids into the corresponding codons. All synthetic gene design systems include a backtranslation module....
Alfredo Ferro, Rosalba Giugno, Giuseppe Pigola, Al...
BMCBI
2010
123views more  BMCBI 2010»
13 years 5 months ago
Decoding HMMs using the k best paths: algorithms and applications
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
Daniel G. Brown 0001, Daniil Golod
AAMAS
2010
Springer
13 years 5 months ago
A probabilistic multimodal approach for predicting listener backchannels
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
Louis-Philippe Morency, Iwan de Kok, Jonathan Grat...