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BMVC
2010
15 years 4 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
191
Voted
CVPR
2001
IEEE
16 years 9 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
183
Voted
ICCSA
2009
Springer
16 years 1 months ago
Learning and Predicting Key Web Navigation Patterns Using Bayesian Models
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...
Malik Tahir Hassan, Khurum Nazir Junejo, Asim Kari...
CVPR
2009
IEEE
17 years 2 months ago
Error Propagations for Local Bundle Adjustment
Local bundle adjustment (LBA) has recently been introduced to estimate the geometry of image sequences taken by a calibrated camera. Its advantage over standard (global) bundle ...
Alexandre Eudes (LASMEA & CEA LIST), Maxime L...
147
Voted
ICPR
2008
IEEE
16 years 8 months ago
Local Regularized Least-Square Dimensionality Reduction
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
Changshui Zhang, Yangqing Jia