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» Metric and Kernel Learning Using a Linear Transformation
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ICDAR
2009
IEEE
15 years 8 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
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 2 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
ECCV
2002
Springer
16 years 3 months ago
Learning the Topology of Object Views
A visual representation of an object must meet at least three basic requirements. First, it must allow identification of the object in the presence of slight but unpredictable chan...
Christoph von der Malsburg, Jan Wieghardt, Rolf P....
ICIAR
2004
Springer
15 years 7 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
ICASSP
2008
IEEE
15 years 8 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell