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IJCNN
2006
IEEE
16 years 27 days ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
IROS
2006
IEEE
125views Robotics» more  IROS 2006»
16 years 27 days ago
Surface Recognition by Registering Data Curves from Touch
Model-based recognition of an object typically involves matching dense 3D range data. The computational cost is directly affected by the amount of data of which a transformation n...
Rinat Ibrayev, Yan-Bin Jia
MM
2006
ACM
125views Multimedia» more  MM 2006»
16 years 25 days ago
Scalable streaming for heterogeneous clients
Periodic broadcast protocols enable the efficient streaming of highly popular media files to large numbers of concurrent clients. Most previous periodic broadcast protocols, howe...
Liqi Shi, Phillipa Sessini, Anirban Mahanti, Zongp...
HPDC
2005
IEEE
16 years 15 days ago
GWiQ-P: an efficient decentralized grid-wide quota enforcement protocol
Mega grids span several continents and may consist of millions of nodes and billions of tasks executing at any point in time. This setup calls for scalable and highly available re...
Kfir Karmon, Liran Liss, Assaf Schuster
DSVIS
2005
Springer
16 years 12 days ago
Towards Model Checking Stochastic Aspects of the thinkteam User Interface
Abstract. Stochastic model checking is a recent extension of traditional modelchecking techniques for the integrated analysis of both qualitative and quantitative system properties...
Maurice H. ter Beek, Mieke Massink, Diego Latella