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BSN
2009
IEEE
118views Sensor Networks» more  BSN 2009»
16 years 1 months ago
Minimising Loss-Induced Errors in Real Time Wireless Sensing by Avoiding Data Dependency
Abstract—The use of local processing to reduce data transmission rates, and thereby power and bandwidth requirements, is common in wireless sensor networks. Achieving the minimum...
A. D. Young, M. J. Ling
INFOCOM
2011
IEEE
14 years 9 months ago
Ubiquitous data collection for mobile users in wireless sensor networks
Abstract—We study the ubiquitous data collection for mobile users in wireless sensor networks. People with handheld devices can easily interact with the network and collect data....
Zhenjiang Li, Mo Li, Jiliang Wang, Zhichao Cao
NIPS
2007
15 years 7 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
ICCV
2009
IEEE
16 years 11 months ago
Non-Negative Matrix Factorization of Partial Track Data for Motion Segmentation
This paper addresses the problem of segmenting lowlevel partial feature point tracks belonging to multiple motions. We show that the local velocity vectors at each instant of th...
Anil M. Cheriyadat and Richard J. Radke
SETN
2004
Springer
15 years 11 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas