325 search results - page 48 / 65 » On Clusterings - Good, Bad and Spectral |
115
Voted
ICASSP
2010
IEEE
15 years 28 days ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
150
Voted
DAGM
2011
Springer
14 years 16 days ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
88
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, we explore experimentally the use of the commute time of the continuous-time quantum walk for graph drawing. For the classical random walk, the commute time has bee...
99
Voted
EMNLP
2006
15 years 2 months ago
2006
We investigate the problem of learning a part-of-speech (POS) lexicon for a resource-poor language, dialectal Arabic. Developing a high-quality lexicon is often the first step tow...
107
click to vote
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...