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NIPS
2003
13 years 9 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
COMCOM
2007
174views more  COMCOM 2007»
13 years 8 months ago
Directional geographical routing for real-time video communications in wireless sensor networks
In this paper, we address the problem of real-time video streaming over a bandwidth and energy constrained wireless sensor network (WSN) from a small number of dispersed video-sen...
Min Chen, Victor C. M. Leung, Shiwen Mao, Yong Yua...
INFOCOM
2011
IEEE
12 years 11 months ago
Maintaining source privacy under eavesdropping and node compromise attacks
—In a sensor network, an important problem is to provide privacy to the event detecting sensor node and integrity to the data gathered by the node. Compromised source privacy can...
Kanthakumar Pongaliur, Li Xiao
FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
13 years 12 months ago
Expand Training Set for Face Detection by GA Re-sampling
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
Jie Chen, Xilin Chen, Wen Gao
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 8 months ago
Spiking Neurons with ASNN Based-Methods for the Neural Block Cipher
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
Saleh Ali K. Al-Omari, Putra Sumari