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JMLR
2012
13 years 9 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
CVPR
2009
IEEE
17 years 1 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...
CVPR
2003
IEEE
16 years 8 months ago
Scene Detection In Hollywood Movies and TV Shows
A scene can be defined as one of the subdivisions of a play in which the setting is fixed, or when it presents continuous action in one place. We propose a novel two-pass algorith...
Zeeshan Rasheed, Mubarak Shah
CVPR
2008
IEEE
16 years 8 months ago
Motion estimation for multi-camera systems using global optimization
We present a motion estimation algorithm for multicamera systems consisting of more than one calibrated camera securely attached on a moving object. So, they move all together, bu...
Hongdong Li, Jae-Hak Kim, Richard I. Hartley
CVPR
2008
IEEE
16 years 8 months ago
A polynomial-time bound for matching and registration with outliers
We present a framework for computing optimal transformations, aligning one point set to another, in the presence of outliers. Example applications include shape matching and regis...
Carl Olsson, Olof Enqvist, Fredrik Kahl
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