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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 9 months 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
SIMUTOOLS
2008
15 years 8 months ago
Efficient and realistic mobility and channel modeling for VANET scenarios using OMNeT++ and INET-framework
Mobility and channel modeling is a very crucial task for the simulation of Vehicular Ad Hoc Network (VANET) scenarios. In this paper we present a new mobility modeling approach fo...
Robert Nagel, Stephan Eichler
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 9 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
OPODIS
2010
15 years 4 months ago
Tardiness Bounds for Global EDF with Deadlines Different from Periods
The Earliest Deadline First (EDF) scheduling algorithm is known to be suboptimal for meeting all deadlines under global scheduling on multiprocessor platforms. However, EDF is an a...
Jeremy Erickson, Nan Guan, Sanjoy K. Baruah
ICIP
2002
IEEE
15 years 11 months ago
Automatic and interactive modeling of buildings in urban environments from aerial images
Automatically extracting object models from images is a complex task. We describe research in extracting 3-D models of buildings from aerial images. This work has resulted in seve...
Ramakant Nevatia, Keith E. Price