881 search results - page 29 / 177 » Spectral Algorithms for Supervised Learning |
ECML
2003
Springer
15 years 2 months ago
2003
Springer
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
105
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SAC
2006
ACM
15 years 3 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
MM
2010
ACM
14 years 9 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
NIPS
1994
14 years 11 months ago
1994
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 ...
112
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ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...