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NPL
2006
172views more  NPL 2006»
15 years 6 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
CLUSTER
1999
IEEE
15 years 6 months ago
The Network RamDisk: Using remote memory on heterogeneous NOWs
Efficient data storage, a major concern in the modern computer industry, is mostly provided today by the the traditional magnetic disk. Unfortunately the cost of a disk transfer m...
Michail Flouris, Evangelos P. Markatos
ICMI
2010
Springer
172views Biometrics» more  ICMI 2010»
15 years 4 months ago
Modelling and analyzing multimodal dyadic interactions using social networks
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
Sergio Escalera, Petia Radeva, Jordi Vitrià...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
16 years 24 days ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
INFOCOM
2007
IEEE
16 years 1 months ago
Near-Optimal Data Dissemination Policies for Multi-Channel, Single Radio Wireless Sensor Networks
Abstract—We analyze the performance limits of data dissemination with multi-channel, single radio sensors. We formulate the problem of minimizing the average delay of data dissem...
David Starobinski, Weiyao Xiao, Xiangping Qin, Ari...