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CVPR
2008
IEEE
14 years 9 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
WWW
2009
ACM
14 years 2 months ago
Threshold selection for web-page classification with highly skewed class distribution
We propose a novel cost-efficient approach to threshold selection for binary web-page classification problems with imbalanced class distributions. In many binary-classification ta...
Xiaofeng He, Lei Duan, Yiping Zhou, Byron Dom
ICCV
2005
IEEE
14 years 9 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 7 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
ICB
2007
Springer
159views Biometrics» more  ICB 2007»
13 years 11 months ago
Coarse Iris Classification by Learned Visual Dictionary
Abstract. In state-of-the-art iris recognition systems, the input iris image has to be compared with a large number of templates in database. When the scale of iris database increa...
Xianchao Qiu, Zhenan Sun, Tieniu Tan