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148
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NIPS
1998
15 years 3 months ago
Controlling the Complexity of HMM Systems by Regularization
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Christoph Neukirchen, Gerhard Rigoll
CORR
2006
Springer
66views Education» more  CORR 2006»
15 years 2 months ago
MDL Denoising Revisited
We refine and extend an earlier MDL denoising criterion for wavelet-based denoising. We start by showing that the denoising problem can be reformulated as a clustering problem, whe...
Teemu Roos, Petri Myllymäki, Jorma Rissanen
PAMI
2008
109views more  PAMI 2008»
15 years 2 months ago
Likelihood Ratio-Based Biometric Score Fusion
Multibiometric systems fuse information from different sources to compensate for the limitations in performance of individual matchers. We propose a framework for optimal combinati...
Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K...
CORR
2000
Springer
86views Education» more  CORR 2000»
15 years 2 months ago
Variable Word Rate N-grams
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...
Yoshihiko Gotoh, Steve Renals
147
Voted
IJCV
2008
172views more  IJCV 2008»
15 years 2 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann