5,622 research outputs found
Context Based Visual Content Verification
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
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
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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