4651 search results - page 115 / 931 » Data Reduction Using Multiple Models Integration |
BMCBI
2007
14 years 10 months ago
2007
Background: Systematic, high-throughput studies of mouse phenotypes have been hampered by the inability to analyze individual animal data from a multitude of sources in an integra...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
More and more applications rely heavily on large amounts of data in the distributed storages collected over time or produced by large scale scientific experiments or simulations. ...
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models prese...
NIPS
2004
14 years 11 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of th...