135 search results - page 2 / 27 » Hilbert Space Embeddings of Hidden Markov Models |
DIS
2007
Springer
13 years 11 months ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
CSDA
2007
13 years 4 months ago
2007
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categ...
NIPS
2003
13 years 6 months ago
2003
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
NIPS
2008
13 years 6 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...