18 search results - page 1 / 4 » Split-Merge Incremental LEarning (SMILE) of Mixture Models |
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
In this article we present an incremental method for building a mixture model. Given the desired number of clusters K ≥ 2, we start with a two-component mixture and we optimize t...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
SETN
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
INTERSPEECH
2010
12 years 11 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
ICIAR
2010
Springer
13 years 2 months ago
2010
Springer
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...