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PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 10 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ICPR
2008
IEEE
16 years 6 months ago
Semantic grouping of visual features
Many current object class models build on visual parts that constitute an object. However, visually different entities may actually refer to the same object part. This may be harm...
Alexandra Teynor, Hans Burkhardt
ICML
2008
IEEE
16 years 5 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 11 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
ICCV
2011
IEEE
14 years 4 months ago
Scale Space for Central Catadioptric Systems. Towards a generic camera feature extractor.
In this paper we propose a new approach to compute the scale space of any omnidirectional image acquired with a central catadioptric system. When these cameras are central they ar...
Luis Puig, Jose Guerrero