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Spectral-Pruning: Compressing deep neural network via spectral analysis
We develop a new theoretical frame-work for model compression, and propose a new method called {\it Spectral-Pruning} based on the theory. Expand
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A Maximum Likelihood Approach to Density Estimation with Semidefinite Programming
We develop a parametric approach to univariate (or low-dimensional) density estimation based on semidefinite programming (SDP). Expand
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Intent-based cloud service management
We propose an Intent-based Cloud Service Management (ICSM) framework to automate or support operators' decision-making process for cloud resources. Expand
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Synthesis of 3-hydroxypyridines using ruthenium-catalyzed ring-closing olefin metathesis.
New synthetic routes to substituted 3-hydroxypyridines 6 are presented. Ring-closing olefin metathesis (RCM)/elimination and RCM/oxidation/deprotection of nitrogen-containing dienes 4 are the keyExpand
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An Efficient Route to Benzene and Phenol Derivatives via Ring-Closing Olefin Metathesis
Without the formation of inseparable regioisomers, -various substituted phenol derivatives 2 and benzene derivatives 4 were prepared through RCM-tautomerization and RCM-dehydration protocols. A newExpand
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Bicyclic imidazoles for modular synthesis of chiral imidazolium salts.
The preparation of new chiral bicyclic imidazoles 5 and their transformation into imidazolium salts 6 and 7 are reported. The utility of the salts as precursors for chiral N-heterocyclic carbenes wasExpand
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Ontology Modeling in Developing Osss
The increasing number of network services has highlighted the need to develop operation support systems (OSSs) for these services. It seems efficient to develop OSSs by reusing models of existing OSSExpand
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Automatic image description by using word-level features
We propose a novel approach to collect general phrases for generating image descriptions from the image descriptions of similar images based on their frequency. Expand
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A New Computational Approach to Density Estimation with Semidefinite Programming
Density estimation is a classical and important problem in statistics. The aim of this paper is to develop a new computational approach to density estimation based on semidefinite programming (SDP),Expand
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