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» Boosting in the presence of noise
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JMLR
2008
100views more  JMLR 2008»
13 years 8 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
14 years 3 months ago
Robust Voronoi-based curvature and feature estimation
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
Quentin Mérigot, Maks Ovsjanikov, Leonidas ...
VIS
2007
IEEE
235views Visualization» more  VIS 2007»
14 years 10 months ago
Efficient Surface Reconstruction using Generalized Coulomb Potentials
We propose a novel, geometrically adaptive method for surface reconstruction from noisy and sparse point clouds, without orientation information. The method employs a fast convecti...
Andrei C. Jalba, Jos B. T. M. Roerdink
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
14 years 9 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
MOBIHOC
2006
ACM
14 years 8 months ago
Distributed localization using noisy distance and angle information
Localization is an important and extensively studied problem in ad-hoc wireless sensor networks. Given the connectivity graph of the sensor nodes, along with additional local info...
Amitabh Basu, Jie Gao, Joseph S. B. Mitchell, Giri...