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NIPS
1994
15 years 3 months ago
Efficient Methods for Dealing with Missing Data in Supervised Learning
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
Volker Tresp, Ralph Neuneier, Subutai Ahmad
JMLR
2010
191views more  JMLR 2010»
14 years 9 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
CVPR
2008
IEEE
16 years 4 months ago
Integrated feature selection and higher-order spatial feature extraction for object categorization
In computer vision, the bag-of-visual words image representation has been shown to yield good results. Recent work has shown that modeling the spatial relationship between visual ...
David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen
135
Voted
ECCV
2006
Springer
16 years 4 months ago
Studying Aesthetics in Photographic Images Using a Computational Approach
Aesthetics, in the world of art and photography, refers to the principles of the nature and appreciation of beauty. Judging beauty and other aesthetic qualities of photographs is a...
Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wan...
117
Voted
ICIAP
2003
ACM
16 years 2 months ago
Classification method for colored natural textures using Gabor filtering
In texture analysis the common methods are based on the gray levels of the texture image. However, the use of color information improves the classification accuracy of the colored...
Leena Lepistö, Iivari Kunttu, Jorma Autio, Ar...