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SP
2010
IEEE
192views Security Privacy» more  SP 2010»
13 years 10 months ago
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
—Captchas are designed to be easy for humans but hard for machines. However, most recent research has focused only on making them hard for machines. In this paper, we present wha...
Elie Bursztein, Steven Bethard, Celine Fabry, John...
ICML
2010
IEEE
13 years 7 months ago
Large Graph Construction for Scalable Semi-Supervised Learning
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...
Wei Liu, Junfeng He, Shih-Fu Chang
CNHPCA
2009
Springer
14 years 18 days ago
Benchmarking Parallel I/O Performance for a Large Scale Scientific Application on the TeraGrid
This paper is a report on experiences in benchmarking I/O performance on leading computational facilities on the NSF TeraGrid network with a large scale scientific application. In...
Frank Löffler, Jian Tao, Gabrielle Allen, Eri...
ICML
2010
IEEE
13 years 7 months ago
Large Scale Max-Margin Multi-Label Classification with Priors
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vis...
NECO
2007
107views more  NECO 2007»
13 years 5 months ago
Training a Support Vector Machine in the Primal
Most literature on Support Vector Machines (SVMs) concentrate on the dual optimization problem. In this paper, we would like to point out that the primal problem can also be solve...
Olivier Chapelle