5,622 research outputs found

    Context Based Visual Content Verification

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    In this paper the intermediary visual content verification method based on multi-level co-occurrences is studied. The co-occurrence statistics are in general used to determine relational properties between objects based on information collected from data. As such these measures are heavily subject to relative number of occurrences and give only limited amount of accuracy when predicting objects in real world. In order to improve the accuracy of this method in the verification task, we include the context information such as location, type of environment etc. In order to train our model we provide new annotated dataset the Advanced Attribute VOC (AAVOC) that contains additional properties of the image. We show that the usage of context greatly improve the accuracy of verification with up to 16% improvement.Comment: 6 pages, 6 Figures, Published in Proceedings of the Information and Digital Technology Conference, 201

    R&D Partnerships and Capability of Innovation of Small and Medium-Sized Firms in Zhongguancun, Beijing: The Power of Proximity

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    We examine the impact of research partnerships on a firm's own R&D capability along with the context of the importance of geographical proximity using original survey data obtained from small and medium-sized firms in Zhongguancun Science Park (ZSP). This study develops an analytical framework related to the impact of research partnerships on a firm's R&D capability. Results show that research cooperation with universities and research institutes and small and medium-sized firms enhances the R&D capability of individual firms when the partners are located nearby, although distance has no significant effect on cooperation with large firms.Research cooperation, Spillovers, R&D capability

    Answer-Type Modification without Tears: Prompt-Passing Style Translation for Typed Delimited-Control Operators

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    The salient feature of delimited-control operators is their ability to modify answer types during computation. The feature, answer-type modification (ATM for short), allows one to express various interesting programs such as typed printf compactly and nicely, while it makes it difficult to embed these operators in standard functional languages. In this paper, we present a typed translation of delimited-control operators shift and reset with ATM into a familiar language with multi-prompt shift and reset without ATM, which lets us use ATM in standard languages without modifying the type system. Our translation generalizes Kiselyov's direct-style implementation of typed printf, which uses two prompts to emulate the modification of answer types, and passes them during computation. We prove that our translation preserves typing. As the naive prompt-passing style translation generates and passes many prompts even for pure terms, we show an optimized translation that generate prompts only when needed, which is also type-preserving. Finally, we give an implementation in the tagless-final style which respects typing by construction.Comment: In Proceedings WoC 2015, arXiv:1606.0583
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