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» Hierarchical Gaussian Mixture Model
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MLDM
2005
Springer
14 years 1 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
DAS
2008
Springer
13 years 9 months ago
Writer-Dependent Recognition of Handwritten Whiteboard Notes in Smart Meeting Room Environments
In this paper we present a writer-dependent handwriting recognition system based on hidden Markov models (HMMs). This system, which has been developed in the context of research o...
Marcus Liwicki, Andreas Schlapbach, Horst Bunke
GRAPHICSINTERFACE
2004
13 years 9 months ago
Segmenting Motion Capture Data into Distinct Behaviors
Much of the motion capture data used in animations, commercials, and video games is carefully segmented into distinct motions either at the time of capture or by hand after the ca...
Jernej Barbic, Alla Safonova, Jia-Yu Pan, Christos...
ICASSP
2010
IEEE
13 years 8 months ago
Acoustic front-end optimization for bird species recognition
The goal of this work was to explore the optimization of the feature extraction module (front-end) parameters to improve bird species recognition. We explored optimizing the spect...
Martin Graciarena, Michelle Delplanche, Elizabeth ...
ICASSP
2010
IEEE
13 years 8 months ago
HMM-based separation of acoustic transfer function for single-channel sound source localization
This paper presents a sound source (talker) localization method using only a single microphone, where a HMM (Hidden Markov Model) of clean speech is introduced to estimate the aco...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki