Deep convolutional neural networks (CNNs) have shown impressive performance for image recognition when trained over large scale datasets such as ImageNet. CNNs can extract hierarchical features layer by layer starting...
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In order to probe the secret of our brain, it is necessary to design large scale dynamical neural circuits( more than 106 neurons) to simulate complex process of our brain. But such kind task is not easy to achieve on...
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This paper presents a method for named entity recognition and disambiguation based on Wikipedia. First, we establish Wikipedia database using open source tools named JWPL. Second, we extract the definition term from t...
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Based on Jordan curve theorem, a universal classification method based on hyper surface is recently put forward. The experiments show that the new method can efficiently and accurately classify large data size up to 1...
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Digital image has been widely used in people’s daily life, and image authentication technology is more and more important. This paper proposes an image authentication method based on convolutional neural nets, which ...
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Intelligence Science is an interdisciplinary subject which dedicates to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Mind model...
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A propositional family deontic logic is introduced, which is a combination of the propositional deontic logic, dynamic logic and ambient logic. A three-layered possible world semantics is given, where a possible world...
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ISBN:
(纸本)1601322178
A propositional family deontic logic is introduced, which is a combination of the propositional deontic logic, dynamic logic and ambient logic. A three-layered possible world semantics is given, where a possible world is a set of families which is used to define the semantics for action modality [a];a subpossible world is a family used to define the semantics for family modality [m], and a subsubpossible world is used to define the semantics for the deontic modality OB. An axiomatic system of the logic will be given, and the normal form theorem, the soundness theorem and completeness theorem of the axiomatic system will be proved.
In this paper, a fast global motion estimation method is proposed for video coding. This method can accommodate not only a translational motion model but also a polynomial motion model. It speeds up the procedure of t...
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ISBN:
(纸本)9780819469533
In this paper, a fast global motion estimation method is proposed for video coding. This method can accommodate not only a translational motion model but also a polynomial motion model. It speeds up the procedure of the global motion estimation (GME) by pre-analyzing the characteristics of the block. At the first stage, the smooth region blocks which contribute less to the GME are filtered by using a threshold method based on image intensity. Next, a threshold method based on the discrepancy of the motion vectors is used to exclude the foreground blocks from the GME. From the experimental results, we can conclude that the proposed fast global motion estimation method manages to speed up the processing of estimating the motion vector field while maintaining the coding performance.
This paper considers the problem of simultaneous restaurant and dish recognition from food images. Since the restaurants are known because of their some special dishes (e.g., the dish "hamburger" in the rest...
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This paper describes a novel model using dependency structures on the source side for syntax-based statistical machine translation: Dependency Treelet String Correspondence Model (DTSC). The DTSC model maps source dep...
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