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» Local Dimensionality Reduction
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111
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DAGM
2006
Springer
15 years 2 months ago
Detecting Intrinsically Two-Dimensional Image Structures Using Local Phase
Abstract. This paper presents a novel approach towards detecting intrinsically two-dimensional (i2D) image structures using local phase information. The local phase of the i2D stru...
Di Zang, Gerald Sommer
115
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ICRA
2002
IEEE
147views Robotics» more  ICRA 2002»
15 years 5 months ago
Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations
We apply the auxiliary particle filter algorithm of Pitt and Shephard (1999) to the problem of robot localization. To deal with the high-dimensional sensor observations (images) ...
Nikos A. Vlassis, Bas Terwijn, Ben J. A. Krös...
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 5 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
97
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UAI
2000
15 years 1 months ago
Experiments with Random Projection
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gaussians. Here we summarize these results and ...
Sanjoy Dasgupta
ICDCS
2010
IEEE
15 years 21 days ago
3DLoc: Three Dimensional Wireless Localization Toolkit
In this paper, we present 3DLoc: an integrated system of hardware and software toolkits for locating an 802.11compliant mobile device in a three dimensional (3D) space. 3DLoc feat...
Jizhi Wang, Yinjie Chen, Xinwen Fu, Jie Wang, Wei ...