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» Approximate Expectation Maximization
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123
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ISBI
2006
IEEE
16 years 4 months ago
Two probabilistic algorithms for MEG/EEG source reconstruction
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, ...
135
Voted
KDD
2002
ACM
110views Data Mining» more  KDD 2002»
16 years 3 months ago
A model for discovering customer value for E-content
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
Srinivasan Jagannathan, Jayanth Nayak, Kevin C. Al...
118
Voted
ICCAD
2003
IEEE
127views Hardware» more  ICCAD 2003»
16 years 10 days ago
A Probabilistic-Based Design Methodology for Nanoscale Computation
As current silicon-based techniques fast approach their practical limits, the investigation of nanoscale electronics, devices and system architectures becomes a central research p...
R. Iris Bahar, Joseph L. Mundy, Jie Chen
130
Voted
GLOBECOM
2009
IEEE
15 years 10 months ago
Distortion Prediction for Video Quality Optimization over Packet Switched Networks
—Scheduling techniques are often deployed at the network edge to maximize the quality of the video communication while satisfying a given constraint on the maximum high priority ...
Andrea Vesco, Enrico Masala, Carlo Novara
136
Voted
GLOBECOM
2008
IEEE
15 years 10 months ago
Topology-Transparent Distributed Scheduling in Multi-Hop Wireless Networks
— Transmission scheduling is a key design problem in wireless multi-hop networks and many scheduling algorithms have been proposed to maximize the spatial reuse and minimize the ...
Qiong Sun, Victor O. K. Li, Ka-Cheong Leung