23 search results - page 4 / 5 » Linearly constrained reconstruction of functions by kernels ... |
CVPR
2009
IEEE
14 years 10 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
ICIP
2001
IEEE
14 years 7 months ago
2001
IEEE
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...