3050 search results - page 424 / 610 » On-line Algorithms in Machine Learning |
133
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
140
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
In recent years, there has been a proliferation of theoretical graph models, e.g., preferential attachment and small-world models, motivated by real-world graphs such as the Inter...
152
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
130
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
139
click to vote
ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...