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EDSC: An Event-Driven Smart Contract Platform
This paper presents EDSC, a novel smart contract platform design based o...
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Trear: Transformer-based RGB-D Egocentric Action Recognition
In this paper, we propose a Transformer-based RGB-D egocentric action re...
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Computational Complexity Characterization of Protecting Elections from Bribery
The bribery problem in election has received considerable attention in t...
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Nonlinear Blockchain Scalability: a Game-Theoretic Perspective
Recent advances in the blockchain research have been made in two importa...
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Private and Atomic Exchange of Assets over Zero Knowledge Based Payment Ledger
Bitcoin brings a new type of digital currency that does not rely on a ce...
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Efficient Public Blockchain Client for Lightweight Users
Public blockchains provide a decentralized method for storing transactio...
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Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Bribery in election (or computational social choice in general) is an im...
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Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks
Scene flow describes the motion of 3D objects in real world and potentia...
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Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks
This paper proposes three simple, compact yet effective representations ...
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Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks
This paper addresses the problem of continuous gesture recognition from ...
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HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Efficient Human Epithelial-2 (HEp-2) cell image classification can facil...
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Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences
Recently, deep learning approach has achieved promising results in vario...
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Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation
Recently, mid-level features have shown promising performance in compute...
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