642 search results - page 39 / 129 » Least-Squares Structuring, Clustering and Data Processing Is... |
CVPR
2007
IEEE
14 years 3 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
MM
2004
ACM
14 years 2 months ago
2004
ACM
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
BPM
2009
Springer
14 years 3 months ago
2009
Springer
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
ICASSP
2011
IEEE
13 years 12 days ago
2011
IEEE
This paper introduces a new neural network language model (NNLM) based on word clustering to structure the output vocabulary: Structured Output Layer NNLM. This model is able to h...