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» Question classification using support vector machines
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151
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ICAC
2006
IEEE
15 years 9 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
122
Voted
ICCV
2007
IEEE
16 years 5 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
124
Voted
NECO
2008
112views more  NECO 2008»
15 years 3 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
109
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A nativeness classifier for TED Talks
This paper presents a nativeness classifier for English. The detector was developed and tested with TED Talks collected from the web, where the major non-native cues are in terms...
Jose Lopes, Isabel Trancoso, Alberto Abad
148
Voted
ICCV
2011
IEEE
14 years 3 months ago
Viewpoint-Aware Object Detection and Pose Estimation
We describe an approach to category-level detection and viewpoint estimation for rigid 3D objects from single 2D images. In contrast to many existing methods, we directly integrat...
Daniel Glasner, Meirav Galun, Sharon Alpert, Ronen...