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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 9 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
158
Voted
ECCV
2010
Springer
15 years 7 months ago
Adaptive Metric Registration of 3D Models to Non-rigid Image Trajectories
Abstract. This paper addresses the problem of registering a 3D model, represented as a cloud of points lying over a surface, to a set of 2D deforming image trajectories in the imag...
Alessio Del Bue
CRYPTO
2011
Springer
243views Cryptology» more  CRYPTO 2011»
14 years 6 months ago
Memory Delegation
We consider the problem of delegating computation, where the delegator doesn’t even know the input to the function being delegated, and runs in time significantly smaller than ...
Kai-Min Chung, Yael Tauman Kalai, Feng-Hao Liu, Ra...
152
Voted
GFKL
2005
Springer
82views Data Mining» more  GFKL 2005»
16 years 9 days ago
Robust Multivariate Methods: The Projection Pursuit Approach
Projection pursuit was originally introduced to identify structures in multivariate data clouds (Huber, 1985). The idea of projecting data to a lowdimensional subspace can also be ...
Peter Filzmoser, Sven Serneels, Christophe Croux, ...
PG
2003
IEEE
16 years 1 days ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...