161 search results - page 9 / 33 » Dirichlet process mixture models with multiple modalities |
CVPR
2008
IEEE
15 years 11 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...
85
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
92
Voted
SAC
2011
ACM
14 years 4 months ago
2011
ACM
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...