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» Embedding Heterogeneous Data Using Statistical Models
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128
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TSP
2008
132views more  TSP 2008»
15 years 29 days ago
On Doubly Selective Channel Estimation Using Superimposed Training and Discrete Prolate Spheroidal Sequences
Abstract--Channel estimation and data detection for frequencyselective time-varying channels are considered using superimposed training. We employ a discrete prolate spheroidal bas...
Shuangchi He, Jitendra K. Tugnait
FCCM
2006
IEEE
133views VLSI» more  FCCM 2006»
15 years 8 months ago
A Scalable FPGA-based Multiprocessor
It has been shown that a small number of FPGAs can significantly accelerate certain computing tasks by up to two or three orders of magnitude. However, particularly intensive lar...
Arun Patel, Christopher A. Madill, Manuel Salda&nt...
154
Voted
SUM
2010
Springer
15 years 27 days ago
Event Modelling and Reasoning with Uncertain Information for Distributed Sensor Networks
CCTV and sensor based surveillance systems are part of our daily lives now in this modern society due to the advances in telecommunications technology and the demand for better sec...
Jianbing Ma, Weiru Liu, Paul Miller
EMNLP
2008
15 years 4 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
121
Voted
BMCBI
2007
138views more  BMCBI 2007»
15 years 2 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...