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» Generalized Discriminant Analysis Using a Kernel Approach
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ICDAR
2009
IEEE
14 years 3 months ago
Writer Adaptive Online Handwriting Recognition Using Incremental Linear Discriminant Analysis
Writer adaptive handwriting recognition, which has potential of increasing accuracies for a particular user, is the process of converting a writer-independent recognition system t...
Zhibin Huang, Kai Ding, Lianwen Jin, Xue Gao
ICCV
2007
IEEE
14 years 10 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
ICPR
2006
IEEE
14 years 9 months ago
A maximum margin discriminative learning algorithm for temporal signals
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
Wenjie Xu, Jiankang Wu, Zhiyong Huang
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 11 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
PAMI
2008
190views more  PAMI 2008»
13 years 8 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz