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Gram Schmidt Based Greedy Hybrid Precoding for Frequency Selective Millimeter Wa ...
Hybrid analog/digital precoding allows millimeter wave MIMO systems to leverage large antenna array gains while permitting low cost and power consumption hardware. Most prior work has focused on hybrid precoding for narrow-band ... Read More >
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Security Games in Network Flow Problems
This article considers a two-player strategic game for network routing under link disruptions. Player 1 (defender) routes flow through a network to maximize her value of effective flow while facing transportation costs. Player 2 ... Read More >
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Recurrent Neural Network Postfilters for Statistical Parametric Speech Synthesis
In the last two years, there have been numerous papers that have looked into using Deep Neural Networks to replace the acoustic model in traditional statistical parametric speech synthesis. However, far less attention has been p ... Read More >
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Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regula ...
Many previous proposals for adversarial training of deep neural nets have included di- rectly modifying the gradient, training on a mix of original and adversarial examples, using contractive penalties, and approximately optimiz ... Read More >
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A Generalized Prefix Construction for OFDM Systems Over Quasi-Static Channels
All practical OFDM systems require a prefix to eliminate inter-symbol interference at the receiver. Cyclic prefix (CP) and zero-padding are well-known prefix construction methods, the former being the most employed technique in ... Read More >
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Attention Inequality in Social Media
Social media can be viewed as a social system where the currency is attention. People post content and interact with others to attract attention and gain new followers. In this paper, we examine the distribution of attention acr ... Read More >
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Optimal Auctions with Convex Perceived Payments
Myerson derived a simple and elegant solution to the single-parameter revenue-maximization problem in his seminal work on optimal auction design assuming the usual model of quasi-linear utilities. In this paper, we consider a sl ... Read More >
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Cloud-Based Distributed Mutation Analysis
Mutation Testing is a fault-based software testing technique which is too computationally expensive for industrial use. Cloud-based distributed computing clusters, taking advantage of the MapReduce programming paradigm, represen ... Read More >
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COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural I ...
This paper describes the COCO-Text dataset. In recent years large-scale datasets like SUN and Imagenet drove the advancement of scene understanding and object recognition. The goal of COCO-Text is to advance state-of-the-art in ... Read More >
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Energy Efficiency of Many-Soft-Core Processors
The growing capacity of integration allows to instantiate hundreds of soft-core processors in a single FPGA to create a reconfigurable multiprocessing system. Lately, FPGAs have been proven to give a higher energy efficiency tha ... Read More >