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ESANN
2007
15 years 8 months ago
Nearest Neighbor Distributions and Noise Variance Estimation
In this paper, we address the problem of deriving bounds for the moments of nearest neighbor distributions. The bounds are formulated for the general case and specifically applied...
Elia Liitiäinen, Francesco Corona, Amaury Len...
138
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CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 6 months ago
Geometric reconstruction from point-normal data
Creating virtual models of real spaces and objects is cumbersome and time consuming. This paper focuses on the problem of geometric reconstruction from sparse data obtained from c...
Eleanor G. Rieffel, Don Kimber, Jim Vaughan
AIM
1999
15 years 6 months ago
Machine Learning, Machine Vision, and the Brain
The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our work over the last ten years in th...
Tomaso Poggio, Christian R. Shelton
DAC
2003
ACM
16 years 7 months ago
Death, taxes and failing chips
In the way they cope with variability, present-day methodologies are onerous, pessimistic and risky, all at the same time! Dealing with variability is an increasingly important as...
Chandu Visweswariah
ICIAP
2005
ACM
16 years 6 months ago
Learning Intrusion Detection: Supervised or Unsupervised?
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Pavel Laskov, Patrick Düssel, Christin Sch&au...