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SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 8 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
ADHOC
2007
100views more  ADHOC 2007»
15 years 7 months ago
A GPS-less, outdoor, self-positioning method for wireless sensor networks
One challenging issue in sensor networks is to determine where a given sensor node is physically located. This problem is especially crucial for very small sensor nodes. This pape...
Hung-Chi Chu, Rong-Hong Jan
205
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ICML
2006
IEEE
16 years 8 months ago
Semi-supervised nonlinear dimensionality reduction
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlo...
179
Voted
ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
16 years 2 months ago
Finding good cycle constraints for large scale multi-robot SLAM
Abstract— In this paper we describe an algorithm to compute cycle constraints that can be used in many graph-based SLAM algorithms; we exemplify it in Hierarchical SLAM. Our algo...
Carlos Estrada, José Neira, Juan D. Tard&oa...
CAD
2006
Springer
15 years 7 months ago
Constrained 3D shape reconstruction using a combination of surface fitting and registration
We investigate 3D shape reconstruction from measurement data in the presence of constraints. The constraints may fix the surface type or set geometric relations between parts of a...
Yang Liu, Helmut Pottmann, Wenping Wang