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BMCBI
2008
132views more  BMCBI 2008»
15 years 6 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 8 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
ISSS
1995
IEEE
161views Hardware» more  ISSS 1995»
15 years 10 months ago
Synthesis of pipelined DSP accelerators with dynamic scheduling
To construct complete systems on silicon, application speci c DSP accelerators are needed to speed up the execution of high throughput DSP algorithms. In this paper, a methodology...
Patrick Schaumont, Bart Vanthournout, Ivo Bolsens,...
ICPR
2000
IEEE
16 years 7 months ago
Unsupervised Selection and Estimation of Finite Mixture Models
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...
Anil K. Jain, Mário A. T. Figueiredo
KI
2009
Springer
16 years 1 months ago
Maximum a Posteriori Estimation of Dynamically Changing Distributions
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Michael Volkhardt, Sören Kalesse, Steffen M&u...