175 search results - page 15 / 35 » Parameter space exploration with Gaussian process trees |
SSPR
2004
Springer
14 years 27 days ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
TIP
1998
13 years 7 months ago
1998
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
UC
2010
Springer
13 years 5 months ago
2010
Springer
The information processing capabilities of many proteins are currently unexplored. The complexities and high dimensional parameter spaces make their investigation impractical. Diff...
SCHOLARPEDIA
2008
13 years 6 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...