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Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale distributed stochastic ...
In this talk, we will introduce some optimization problem in remote sensing data processing. The high dimensional characteristics of remote sensing data, especially hyperspectral data, will not only l...
For wireless cellular and ad hoc networks with QoS constraints, we propose a suite of problem formulations that allocate network resources to optimize SIR, maximize throughput, and minimize delay. The...
We consider a linear control system in which several signals are transmitted over communication channels with bit-rate limitations. With the coding and medium access schemes of the communication syste...
We consider a linear system, such as an estimator or a con- troller, in which several signals are transmitted over wireless commu- nication channels. With the coding and medium access schemes of the c...
This chapter concerns the use of convex optimization in real-time embedded systems, in areas such as signal processing, automatic control, real-time estimation, real-time resource allocation and decis...
Convex optimization has been used in signal processing for a long time, to choose coefficients for use in fast (linear) algorithms, such as in filter or array design; more recently, it has been used t...
We introduce a first order method for solving very large cone programs to modest accuracy. The method uses an operator splitting method, the alternating directions method of multipliers, to solve the ...
In the near future, there will be two more civil GPS signals in addition to the current one at the L1 frequency (1575.42 MHz). The second civil signal will be broadcast at the L2 frequency (1227.60 MH...
Stereoscopic video is a practical and important manner for 3-D video applications, and robust stereoscopic video transmission over error-prone networks has posed a technical challenge for stereoscopic...
Scalable image retrieval systems usually involve hierarchical quantization of local image descriptors, which produces a visual vocabulary for inverted indexing of images. Although hierarchical quantiz...
We consider the problem of optimization of the training sequence length when a turbo-detector composed of a maximum a posteriori (MAP) equalizer and a MAP decoder is used. At each iteration of the rec...
One of the fundamental steps in the transformation of the LIDAR data into the meaningful objects in urban area involves their segmentation into consistent units through a clustering process. Neverth...
Optimization of a training set for more robust      Optimization  training set       font style='font-size:12px;'> 2010/12/20
The performanceofalearning-basedmethodhighlydependsonthequalityofatrainingset.However,itis verychallengingtocollectanefficientandeffectivetrainingsetfortrainingagoodclassifier,becauseof the highdimen...
For a typical video distribution system, the video contents are first compressed and then stored in the local storage or transmitted to the end users through networks. While the compressed videos are...

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