914 search results - page 110 / 183 » Learning to Segment |
110
Voted
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we investigate the problem of locating singing voice in music tracks. As opposed to most existing methods for this task, we rely on the extraction of the characteris...
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
In this paper, we introduce a new approach for modeling
visual context. For this purpose, we consider the leaves of a
hierarchical segmentation tree as elementary units. Each
le...
114
Voted
INFOCOM
1997
IEEE
15 years 5 months ago
1997
IEEE
The increasing role of communication networks in today’s society results in a demand for higher levels of network availability and reliability. At the same time, fault managemen...
130
Voted
COLING
2008
15 years 2 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
86
Voted
MICCAI
2009
Springer
16 years 2 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...