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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 7 days ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
DOCENG
2006
ACM
15 years 3 months ago
Content based SMS spam filtering
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, special...
José María Gómez Hidalgo, Gui...
CHI
2006
ACM
15 years 10 months ago
The paradox of the assisted user: guidance can be counterproductive
This paper investigates the influence of interface styles on problem solving performance. It is often assumed that performance on problem solving tasks improves when users are ass...
Christof van Nimwegen, Daniel D. Burgos, Herre van...
ECCV
2008
Springer
15 years 11 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ICVS
2009
Springer
14 years 7 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...