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» Learning Implied Global Constraints
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ICML
2009
IEEE
14 years 8 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
CVPR
2007
IEEE
14 years 9 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
AROBOTS
2011
13 years 2 months ago
Large scale graph-based SLAM using aerial images as prior information
— To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of le...
Rainer Kümmerle, Bastian Steder, Christian Do...
CCS
2005
ACM
14 years 27 days ago
On fairness in simulatability-based cryptographic systems
Simulatability constitutes the cryptographic notion of a secure refinement and has asserted its position as one of the fundamental concepts of modern cryptography. Although simula...
Michael Backes, Dennis Hofheinz, Jörn Mü...
CAISE
2010
Springer
13 years 7 months ago
Dynamic Authorisation Policies for Event-Based Task Delegation
Task delegation presents one of the business process security leitmotifs. It defines a mechanism that bridges the gap between both workflow and access control systems. There are tw...
Khaled Gaaloul, Ehtesham Zahoor, François C...