Sciweavers

403 search results - page 39 / 81
» Metric and Kernel Learning Using a Linear Transformation
Sort
View
JMLR
2006
116views more  JMLR 2006»
15 years 1 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
JMLR
2008
110views more  JMLR 2008»
15 years 1 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
CVPR
2012
IEEE
13 years 4 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
AMC
2010
83views more  AMC 2010»
15 years 2 months ago
Windowed Fourier transform of two-dimensional quaternionic signals
In this paper, we generalize the classical windowed Fourier transform (WFT) to quaternionvalued signals, called the quaternionic windowed Fourier transform (QWFT). Using the spect...
Mawardi Bahri, Eckhard S. M. Hitzer, Ryuichi Ashin...
IBPRIA
2007
Springer
15 years 8 months ago
Improving Piecewise-Linear Registration Through Mesh Optimization
Abstract. Piecewise-linear methods accomplish the registration by dividing the images in corresponding triangular patches, which are individually mapped through affine transformati...
Vicente Arévalo, Javier González