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ISAAC
2005
Springer
111views Algorithms» more  ISAAC 2005»
15 years 10 months ago
Boosting Spectral Partitioning by Sampling and Iteration
A partition of a set of n items is a grouping of the items into k disjoint classes of equal size. Any partition can be modeled as a graph: the items become the vertices of the grap...
Joachim Giesen, Dieter Mitsche
SIGIR
2004
ACM
15 years 10 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
CCS
2001
ACM
15 years 9 months ago
New Iterative Geometric Methods for Robust Perceptual Image Hashing
We propose a novel and robust hashing paradigm that uses iterative geometric techniques and relies on observations that main geometric features within an image would approximately ...
Mehmet Kivanç Mihçak, Ramarathnam Ve...
ICRA
2010
IEEE
265views Robotics» more  ICRA 2010»
15 years 3 months ago
A generalization of the metric-based Iterative Closest Point technique for 3D scan matching
— Scan matching techniques have been widely used to compute the displacement of robots. This estimate is part of many algorithms addressing navigation and mapping. This paper add...
Leopoldo Armesto, Javier Minguez, Luis Montesano
ICASSP
2011
IEEE
14 years 8 months ago
An iterative strategy to approach corners using a new saliency measurement
In this paper we propose a novel corner detection algorithm using local adaptive thresholding and iterative approaching. First, a new metric is defined to measure the saliency of ...
Lihong Ma, Xingjun Tan, Jing Tian