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IJCNN
2006
IEEE
14 years 1 months ago
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network
— We present a novel network of oscillatory units, whose behavior is described by the amplitude and phase of oscillations. While building on previous work, the system presented i...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
14 years 23 days ago
Unsupervised Segmentation of Categorical Time Series into Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
Paul R. Cohen, Brent Heeringa, Niall M. Adams
ICMLA
2008
13 years 9 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
ACL
2009
13 years 5 months ago
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
ICAPR
2005
Springer
14 years 1 months ago
Unsupervised Markovian Segmentation on Graphics Hardware
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...
Pierre-Marc Jodoin, Jean-François St-Amour,...