24 search results - page 3 / 5 » Naturalness classification of images into DCT domain |
JMLR
2010
13 years 1 months ago
2010
Classification problems with a very large or unbounded set of output categories are common in many areas such as natural language and image processing. In order to improve accurac...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
IPMI
2001
Springer
14 years 7 months ago
2001
Springer
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
TMM
2002
13 years 6 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...