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» Fitting hidden Markov models to psychological data
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BMCBI
2007
104views more  BMCBI 2007»
13 years 8 months ago
A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
Oscar M. Rueda, Ramón Díaz-Uriarte
ICA
2004
Springer
14 years 2 months ago
Music Transcription with ISA and HMM
We propose a new generative model for polyphonic music based on nonlinear Independent Subspace Analysis (ISA) and factorial Hidden Markov Models (HMM). ISA represents chord spectra...
Emmanuel Vincent, Xavier Rodet
CORR
2000
Springer
129views Education» more  CORR 2000»
13 years 8 months ago
Prosody-Based Automatic Segmentation of Speech into Sentences and Topics
A crucial step in processing speech audio data for information extraction, topic detection, or browsing/playback is to segment the input into sentence and topic units. Speech segm...
Elizabeth Shriberg, Andreas Stolcke, Dilek Z. Hakk...
CORR
2006
Springer
144views Education» more  CORR 2006»
13 years 8 months ago
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
MMS
2006
13 years 8 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld