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ICPR
2008
IEEE
16 years 2 months ago
A new HMM training and testing scheme
One of disadvantages of Hidden Markov Models (HMMs) is its low resistance to unexpected noises among observation sequences. Unexpected noises in a sequence usually "break&quo...
Albert Hung-Ren Ko, Alceu de Souza Britto Jr., Rob...
73
Voted
ICML
2008
IEEE
16 years 1 months ago
Democratic approximation of lexicographic preference models
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...
Fusun Yaman, Thomas J. Walsh, Michael L. Littman, ...
ICML
2001
IEEE
16 years 1 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
ISBI
2008
IEEE
16 years 1 months ago
Multiframe sure-let denoising of timelapse fluorescence microscopy images
Due to the random nature of photon emission and the various internal noise sources of the detectors, real timelapse fluorescence microscopy images are usually modeled as the sum o...
Saskia Delpretti, Florian Luisier, Sathish Ramani,...
CHI
2004
ACM
16 years 1 months ago
Model for non-expert text entry speed on 12-button phone keypads
In this paper we present a new model for predicting text entry speed on a 12-button mobile phone keypad. The proposed model can predict the performance of novice users. Like other...
Andriy Pavlovych, Wolfgang Stürzlinger