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High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test
To address the problem of online automatic inspection of drug liquid bot...
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Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos
Automatic colorectal polyp detection in colonoscopy video is a fundament...
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Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
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The item selection problem for user cold-start recommendation
When a new user just signs up on a website, we usually have no informati...
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XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting
IP geolocation aims at locating the geographical position of Internet de...
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Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
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Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Nowadays, Deep Learning as a service can be deployed in Internet of Thin...
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Residual Feature Distillation Network for Lightweight Image Super-Resolution
Recent advances in single image super-resolution (SISR) explored the pow...
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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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Supporting the Problem-Solving Loop: Designing Highly Interactive Optimisation Systems
Efficient optimisation algorithms have become important tools for findin...
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Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation
The Eulerian fluid simulation is an important HPC application. The neura...
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Poet: Product-oriented Video Captioner for E-commerce
In e-commerce, a growing number of user-generated videos are used for pr...
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Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media
This paper mainly investigates the classic resonant cavity problem with ...
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Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation
Head pose estimation is a crucial problem for many tasks, such as driver...
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Triaging moderate COVID-19 and other viral pneumonias from routine blood tests
The COVID-19 is sweeping the world with deadly consequences. Its contagi...
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Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error
We study the L_1-regularized maximum likelihood estimator/estimation (ML...
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Nanotechnology-inspired Information Processing Systems of the Future
Nanoscale semiconductor technology has been a key enabler of the computi...
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Semantics of the Unwritten
The semantics of a text is manifested not only by what is read, but also...
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Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing
With the booming of next generation sequencing technology and its implem...
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InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining
Multi-modal pretraining for learning high-level multi-modal representati...
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FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
How to accurately and efficiently label data on a mobile device is criti...
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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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Balancing truncation and round-off errors in practical FEM: one-dimensional analysis
In finite element methods (FEMs), the accuracy of the solution cannot in...
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Model Embedded DRL for Intelligent Greenhouse Control
Greenhouse environment is the key to influence crops production. However...
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Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning
At high latitudes, many cities adopt a centralized heating system to imp...
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Learning to Predict More Accurate Text Instances for Scene Text Detection
At present, multi-oriented text detection methods based on deep neural n...
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Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction
Charge prediction, determining charges for criminal cases by analyzing t...
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Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
Vector quantization (VQ) techniques are widely used in similarity search...
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Understanding and Improving Proximity Graph based Maximum Inner Product Search
The inner-product navigable small world graph (ip-NSW) represents the st...
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AI for Earth: Rainforest Conservation by Acoustic Surveillance
Saving rainforests is a key to halting adverse climate changes. In this ...
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Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Can we reduce the search cost of Neural Architecture Search (NAS) from d...
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Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2
Training deep learning models on mobile devices recently becomes possibl...
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Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices
Training deep learning models on mobile devices recently becomes possibl...
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Single-Path NAS: Device-Aware Efficient ConvNet Design
Can we automatically design a Convolutional Network (ConvNet) with the h...
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Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Can we automatically design a Convolutional Network (ConvNet) with the h...
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Multi-Block Grid deformation Method in 3D
Multi-block grids provide the computational efficiency of structured gri...
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Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS)
Recently, locality sensitive hashing (LSH) was shown to be effective for...
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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches
This paper proposes a framework of L-BFGS based on the (approximate) sec...
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A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification
The video-based person re-identification is to recognize a person under ...
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A New High Performance and Scalable SVD algorithm on Distributed Memory Systems
This paper introduces a high performance implementation of Zolo-SVD algo...
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Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results
Fuel cells are a promising power source for future data centers, offerin...
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On sound insulation of pyramidal lattice sandwich structure
Pyramidal lattice sandwich structure (PLSS) exhibits high stiffness and ...
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Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN
With the rapid growth of knowledge bases (KBs), question answering over ...
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MLE-induced Likelihood for Markov Random Fields
Due to the intractable partition function, the exact likelihood function...
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Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
In this paper, we study and analyze the mini-batch version of StochAstic...
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SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
In this paper, we propose a StochAstic Recursive grAdient algoritHm (SAR...
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An efficient hybrid tridiagonal divide-and-conquer algorithm on distributed memory architectures
In this paper, an efficient divide-and-conquer (DC) algorithm is propose...
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Topic Aware Neural Response Generation
We consider incorporating topic information into the sequence-to-sequenc...
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