705 search results - page 95 / 141 » Unsupervised Learning Using MML |
MVA
2007
13 years 10 months ago
2007
A novel scheme is proposed for achieving motion segmentation in low-frame rate videos, with application to temporal super resolution. Probabilistic generative models are commonly ...
SDM
2004
SIAM
13 years 10 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
IEEECIT
2010
IEEE
13 years 7 months ago
2010
IEEE
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
SIGIR
2011
ACM
12 years 11 months ago
2011
ACM
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...