302 search results - page 14 / 61 » Non-parametric Mixture Models for Clustering |
CVPR
2000
IEEE
16 years 1 months ago
2000
IEEE
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot b...
NIPS
2007
15 years 1 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
KDD
2004
ACM
16 years 3 days ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
IDA
2007
Springer
14 years 11 months ago
2007
Springer
The performance of K-means and Gaussian mixture model (GMM) clustering depends on the initial guess of partitions. Typically, clus∗ corresponding author 1
SETN
2004
Springer
15 years 5 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...