602 search results - page 69 / 121 » A Least-Squares Framework for Component Analysis |
NIPS
2008
13 years 9 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...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we present a novel framework for efficient multiple reflectional symmetric regions detection in real images. First, we present a fast operator to measure the symmetr...
NIPS
2000
13 years 9 months ago
2000
We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
SIGSOFT
2002
ACM
14 years 8 months ago
2002
ACM
We propose a unifying framework for model-based specification notations. Our framework captures the execution semantics that are common among model-based notations, and leaves the...
CLUSTER
2009
IEEE
14 years 12 days ago
2009
IEEE
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...