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BMCBI
2008
132views more  BMCBI 2008»
15 years 1 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 2 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 5 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 2 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
15 years 8 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...