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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 29 days ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
AROBOTS
2002
91views more  AROBOTS 2002»
15 years 8 days ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
109
Voted
RTSS
2005
IEEE
15 years 6 months ago
Fast On-the-Fly Parametric Real-Time Model Checking
This paper presents a local algorithm for solving the universal parametric real-time model-checking problem. The problem may be phrased as follows: given a real-time system and te...
Dezhuang Zhang, Rance Cleaveland
ICIP
2003
IEEE
16 years 2 months ago
Fast Feldkamp algorithm for cone-beam computer tomography
We propose a new fast Feldkamp algorithm for 3-D cone beam tomography with a circular source trajectory. The algorithm is an extension of our recent fast native 2-D fan-beam recon...
Shu Xiao, Yoram Bresler, David C. Munson Jr.
88
Voted
CORR
2006
Springer
114views Education» more  CORR 2006»
15 years 13 days ago
Fast algorithms for computing isogenies between elliptic curves
We survey algorithms for computing isogenies between elliptic curves defined over a field of characteristic either 0 or a large prime. We introduce a new algorithm that computes an...
Alin Bostan, Bruno Salvy, François Morain, ...