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» On High Dimensional Skylines

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AAAI
2000

92views Intelligent Agents» more AAAI 2000»

Modeling High-Dimensional Data by Combining Simple Experts

13 years 11 months ago

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Geoffrey E. Hinton

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UAI
2000

156views Artificial Intelligence» more UAI 2000»

The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data

13 years 11 months ago

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This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...

Andrew W. Moore

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MVA
1994

76views Computer Vision» more MVA 1994»

Connectivity in High Dimensional Images,

13 years 11 months ago

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Pieter P. Jonker, Albert M. Vossepoel

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CVPR
2010
IEEE

234views Computer Vision» more CVPR 2010»

Unsupervised discovery of co-occurrence in sparse high dimensional data

13 years 10 months ago

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Ondrej Chum, Jiri Matas

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ICASSP
2010
IEEE

160views Signal Processing» more ICASSP 2010»

Robust regression using sparse learning for high dimensional parameter estimation problems

13 years 10 months ago

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Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...

Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa

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