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NIPS
2008
15 years 8 months ago
Diffeomorphic Dimensionality Reduction
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
Christian Walder, Bernhard Schölkopf
MVA
2007
110views Computer Vision» more  MVA 2007»
15 years 8 months ago
Improving Accuracy of 3-D Reconstruction by Classifying Correspondences
In this paper, we show that we can improve accuracies of 3-D reconstructions with uncalibrated stereo by classifying correspondences between two images. After obtaining initial co...
Yusuke Takanashi, Yohei Shibata, Yasushi Kanazawa
ESANN
2004
15 years 8 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
161
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IJCAI
2003
15 years 8 months ago
Modular self-organization for a long-living autonomous agent
The aim of this paper is to provide a sound framework for addressing a difficult problem: the automatic construction of an autonomous agent's modular architecture. We briefly...
Bruno Scherrer
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 6 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff