A Convex Solution to the Positioning Problem with a Coupled Convex-concave-constraint Model


A Convex Solution to the Positioning Problem with a Coupled Convex-concave-constraint Model – The paper shows that a two-dimensional (2D) representation of the problem is an attractive technique for the optimization of quadratic functions. In real data the 2D representation is also suitable to model time-varying information sources. We propose to exploit real-time 3D reconstruction to obtain a 2D reconstruction function for a stochastic function. The stochastic reconstruction parameter is a non-convex (non-linear function) which can be modeled in any non-linear time-scale fashion. We show how our formulation allows us to solve the 2D problem efficiently and efficiently using a stochastic algorithm. It also leads to the design of a scalable system to solve the 2D problem efficiently in practice.

In this paper we investigate the impact of linguistic content on the performance of bilingual and unilingual systems in the task of English learning. Our results suggest that linguistic content of language-based systems plays significant roles in the success of the system in terms of the degree of fluence and the length of speech in various languages. This result suggests that linguistic content plays an important role in the task of learning. In this paper we present findings on the effects of linguistic content of systems on the performance of bilingual and unilingual systems with the help of a language-based system.

A Multi-Task Approach to Unsupervised Mobile Vehicle Detection and Localization Using Visual Cues from Social Media

Learning with a Tight Bound by Constraining Its Inexactness

A Convex Solution to the Positioning Problem with a Coupled Convex-concave-constraint Model

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  • Predicting Out-of-Tight Student Reading Scores

    On the Scope of Emotional Matter and the Effect of Language in Syntactic TranslationIn this paper we investigate the impact of linguistic content on the performance of bilingual and unilingual systems in the task of English learning. Our results suggest that linguistic content of language-based systems plays significant roles in the success of the system in terms of the degree of fluence and the length of speech in various languages. This result suggests that linguistic content plays an important role in the task of learning. In this paper we present findings on the effects of linguistic content of systems on the performance of bilingual and unilingual systems with the help of a language-based system.


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