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» Sampling Techniques for Kernel Methods
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ICPR
2006
IEEE
15 years 11 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...
PSIVT
2009
Springer
149views Multimedia» more  PSIVT 2009»
15 years 4 months ago
Image Inpainting Considering Brightness Change and Spatial Locality of Textures and Its Evaluation
Image inpainting techniques have been widely investigated to remove undesired objects in an image. Conventionally, missing parts in an image are completed by optimizing the objecti...
Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya
68
Voted
ICIP
2009
IEEE
15 years 11 months ago
Parking Space Detection From Video By Augmenting Training Dataset
Auto parking techniques are attracting more attention these days. In this paper, we develop an image-based method to estimate the depth contour in parking areas. Our algorithm is ...
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 17 hour ago
Generating Diverse Ensembles to Counter the Problem of Class Imbalance
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
T. Ryan Hoens, Nitesh V. Chawla
JSS
2007
118views more  JSS 2007»
14 years 10 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd