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Mobility-Aware Seamless Handover with MPTCP in Software-Defined HetNets
In this paper, the problem of vertical handover in software-defined netw...
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An Investigation of Potential Function Designs for Neural CRF
The neural linear-chain CRF model is one of the most widely-used approac...
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Exploring the limits of Concurrency in ML Training on Google TPUs
Recent results in language understanding using neural networks have requ...
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You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce
As an emerging business phenomenon especially in China, instant messagin...
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EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
In the past few decades, to reduce the risk of X-ray in computed tomogra...
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Star edge-coloring of some special graphs
The star chromatic index of a multigraph G, denoted by χ_star'(G), is th...
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Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian
Social e-commerce, as a new form of social computing based marketing pla...
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Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
Detecting and recognizing human action in videos with crowded scenes is ...
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Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
Robust principal component analysis (RPCA) is a widely used tool for dim...
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Structural Knowledge Distillation
Knowledge distillation is a critical technique to transfer knowledge bet...
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Automated Concatenation of Embeddings for Structured Prediction
Pretrained contextualized embeddings are powerful word representations f...
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More Embeddings, Better Sequence Labelers?
Recent work proposes a family of contextual embeddings that significantl...
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Fast and Accurate Sequence Labeling with Approximate Inference Network
The linear-chain Conditional Random Field (CRF) model is one of the most...
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Finding Action Tubes with a Sparse-to-Dense Framework
The task of spatial-temporal action detection has attracted increasing a...
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The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation
Most existing object instance detection and segmentation models only wor...
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A Multi-Level Approach to Waste Object Segmentation
We address the problem of localizing waste objects from a color image an...
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Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Solving long-tail large vocabulary object detection with deep learning b...
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Double Circulant Self-dual Codes on Sextic Cyclotomy
This paper contributes to construct double circulant self-dual codes by ...
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Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing
Programmable packet-processing devices such as programmable switches and...
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Making Robots Draw A Vivid Portrait In Two Minutes
Significant progress has been made with artistic robots. However, existi...
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Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events
Along with the development of the modern smart city, human-centric video...
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Automatic low-bit hybrid quantization of neural networks through meta learning
Model quantization is a widely used technique to compress and accelerate...
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Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
Multilingual sequence labeling is a task of predicting label sequences u...
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Discontinuous Galerkin method for a distributed optimal control problem governed by a time fractional diffusion equation
This paper is devoted to the numerical analysis of a control constrained...
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A multiple attributes image quality database for smartphone camera photo quality assessment
Smartphone is the superstar product in digital device market and the qua...
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Numerical analysis of two Galerkin discretizations with graded temporal grids for fractional evolution equations
Two numerical methods with graded temporal grids are analyzed for fracti...
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Large-Scale Discrete Fourier Transform on TPUs
In this work, we present two parallel algorithms for the large-scale dis...
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CTM: Collaborative Temporal Modeling for Action Recognition
With the rapid development of digital multimedia, video understanding ha...
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iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention
In this report, the method for the iqiyi submission to the task of Activ...
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Learning a Layout Transfer Network for Context Aware Object Detection
We present a context aware object detection method based on a retrieve-a...
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Merging External Bilingual Pairs into Neural Machine Translation
As neural machine translation (NMT) is not easily amenable to explicit c...
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Classification Calibration for Long-tail Instance Segmentation
Remarkable progress has been made in object instance detection and segme...
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Revisit Knowledge Distillation: a Teacher-free Framework
Knowledge Distillation (KD) aims to distill the knowledge of a cumbersom...
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Scale MLPerf-0.6 models on Google TPU-v3 Pods
The recent submission of Google TPU-v3 Pods to the industry wide MLPerf ...
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DP-4-coloring of planar graphs with some restrictions on cycles
DP-coloring was introduced by Dvořák and Postle as a generalization of l...
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Open Named Entity Modeling from Embedding Distribution
In this paper, we report our discovery on named entity distribution in g...
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Numerical analysis of a semilinear fractional diffusion equation
This paper considers the numerical analysis of a semilinear fractional d...
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Analysis of a time-stepping discontinuous Galerkin method for fractional diffusion-wave equation with nonsmooth data
This paper analyzes a time-stepping discontinuous Galerkin method for fr...
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Analysis of the L1 scheme for fractional wave equations with nonsmooth data
This paper analyzes the well-known L1 scheme for fractional wave equatio...
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When Your Friends Become Sellers: An Empirical Study of Social Commerce Site Beidian
Past few years have witnessed the emergence and phenomenal success of st...
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3-choosable planar graphs with some precolored vertices and no 5^--cycles normally adjacent to 8^--cycles
DP-coloring was introduced by Dvořák and Postle [J. Combin. Theory Ser. ...
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Trustable and Automated Machine Learning Running with Blockchain and Its Applications
Machine learning algorithms learn from data and use data from databases ...
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Central Similarity Hashing via Hadamard matrix
Hashing has been widely used for efficient large-scale multimedia data r...
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Variable degeneracy on toroidal graphs
Let f be a nonnegative integer valued function on the vertex-set of a gr...
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Cover and variable degeneracy
Let f be a nonnegative integer valued function on the vertex-set of a gr...
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Distilling Object Detectors with Fine-grained Feature Imitation
State-of-the-art CNN based recognition models are often computationally ...
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Prototype Reminding for Continual Learning
Continual learning is a critical ability of continually acquiring and tr...
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A note on 'A fully parallel 3D thinning algorithm and its applications'
A 3D thinning algorithm erodes a 3D binary image layer by layer to extra...
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Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow
Brain tumor segmentation from Magnetic Resonance Images (MRIs) is an imp...
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High-Performance Support Vector Machines and Its Applications
The support vector machines (SVM) algorithm is a popular classification ...
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