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» Nonlinear Mapping Networks
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114
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NIPS
2003
15 years 4 months ago
Optimal Manifold Representation of Data: An Information Theoretic Approach
We introduce an information theoretic method for nonparametric, nonlinear dimensionality reduction, based on the infinite cluster limit of rate distortion theory. By constraining...
Denis V. Chigirev, William Bialek
124
Voted
ESANN
2003
15 years 4 months ago
Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
In this paper, we present an algorithm that minimizes the mutual information between the outputs of a perceptron with two hidden layers. The neural network is then used as separati...
Rubén Martín-Clemente, Susana Hornil...
116
Voted
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 6 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
130
Voted
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
15 years 1 months ago
Hierarchical optimization on manifolds for online 2D and 3D mapping
Abstract— In this paper, we present a new hierarchical optimization solution to the graph-based simultaneous localization and mapping (SLAM) problem. During online mapping, the a...
Giorgio Grisetti, Rainer Kümmerle, Cyrill Sta...
117
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AAAI
2012
13 years 5 months ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia