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08/06/2019
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
In edge computing scenarios, the distribution of data and collaboration ...
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08/02/2019
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
In person re-identification (Re-ID), supervised methods usually need a l...
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07/27/2019
HPC AI500: A Benchmark Suite for HPC AI Systems
In recent years, with the trend of applying deep learning (DL) in high p...
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07/23/2019
NPSA: Nonorthogonal Principal Skewness Analysis
Principal skewness analysis (PSA) has been introduced for feature extrac...
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07/17/2019
Energy-Efficient Power Control of Train-ground mmWave Communication for High Speed Trains
High speed train system has proven to be a very flexible and attractive ...
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07/03/2019
Tracking system of Mine Patrol Robot for Low Illumination Environment
Computer vision has received a significant attention in recent years, wh...
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06/27/2019
Loss Switching Fusion with Similarity Search for Video Classification
From video streaming to security and surveillance applications, video da...
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06/24/2019
A Comparative Review of Recent Kinect-based Action Recognition Algorithms
Video-based human action recognition is currently one of the most active...
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06/13/2019
Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition
In this paper, we revive the use of old-fashioned handcrafted video repr...
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06/01/2019
A Semantic-based Medical Image Fusion Approach
It is necessary for clinicians to comprehensively analyze patient inform...
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04/06/2019
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
Unsupervised cross-domain person re-identification (Re-ID) faces two key...
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03/28/2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Few-shot learning in image classification aims to learn a classifier to ...
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03/06/2019
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
In recent years, hashing has attracted more and more attention owing to ...
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01/08/2019
Tree Tensor Networks for Generative Modeling
Matrix product states (MPS), a tensor network designed for one-dimension...
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01/03/2019
XOS: An Application-Defined Operating System for Data Center Servers
Rapid growth of datacenter (DC) scale, urgency of cost control, increasi...
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01/03/2019
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks
Big medical data poses great challenges to life scientists, clinicians, ...
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12/24/2018
Dynamic Runtime Feature Map Pruning
High bandwidth requirements are an obstacle for accelerating the trainin...
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12/13/2018
Wider Channel Attention Network for Remote Sensing Image Super-resolution
Recently, deep convolutional neural networks (CNNs) have obtained promis...
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11/26/2018
Clustering Residential Electricity Load Curves via Community Detection in Network
Performing analytic of household load curves (LCs) has significant value...
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11/14/2018
Translating a Math Word Problem to an Expression Tree
Sequence-to-sequence (SEQ2SEQ) models have been successfully applied to ...
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11/14/2018
Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster
In warehouse-scale cloud datacenters, co-locating online services and of...
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10/31/2018
Performance assessment of the deep learning technologies in grading glaucoma severity
Objective: To validate and compare the performance of eight available de...
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10/30/2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
This study aims to automatically diagnose thoracic diseases depicted on ...
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10/18/2018
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
For the architecture community, reasonable simulation time is a strong r...
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09/27/2018
Solving Statistical Mechanics using Variational Autoregressive Networks
We propose a general framework for solving statistical mechanics of syst...
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09/26/2018
Monge-Ampère Flow for Generative Modeling
We present a deep generative model, named Monge-Ampère flow, which build...
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08/26/2018
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
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08/22/2018
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers
Automatically solving mathematical word problems (MWPs) is challenging, ...
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08/10/2018
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
We present a method for metric optimization in the Large Deformation Dif...
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08/10/2018
Learning and Inference on Generative Adversarial Quantum Circuits
Quantum mechanics is inherently probabilistic in light of Born's rule. U...
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07/25/2018
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings
Automatic mapping of buildings from remote sensing imagery is currently ...
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07/14/2018
A Simple and Space Efficient Segment Tree Implementation
The segment tree is an extremely versatile data structure. In this paper...
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05/15/2018
Online Deep Metric Learning
Metric learning learns a metric function from training data to calculate...
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05/01/2018
Optimal Load-Balancing for High-Density Wireless Networks with Flow-Level Dynamics
We consider the load-balancing design for forwarding incoming flows to a...
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04/27/2018
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
Due to low tissue contrast, irregular object appearance, and unpredictab...
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04/22/2018
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks
Discriminative features are critical for machine learning applications. ...
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04/11/2018
Differentiable Learning of Quantum Circuit Born Machine
Quantum circuit Born machines are generative models which represent the ...
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04/11/2018
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification
In this paper, a novel mask based deep ranking neural network with skipp...
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02/23/2018
BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
Several fundamental changes in technology indicate domain-specific hardw...
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02/23/2018
BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite
As architecture, system, data management, and machine learning communiti...
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02/13/2018
Understanding Membership Inferences on Well-Generalized Learning Models
Membership Inference Attack (MIA) determines the presence of a record in...
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02/10/2018
A veracity preserving model for synthesizing scalable electricity load profiles
Electricity users are the major players of the electric systems, and ele...
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02/08/2018
Neural Network Renormalization Group
We present a variational renormalization group approach using deep gener...
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02/01/2018
Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
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02/01/2018
Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads
Though the big data benchmark suites like BigDataBench and CloudSuite ha...
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01/28/2018
BOPS, Not FLOPS! A New Metric and Roofline Performance Model For Datacenter Computing
The past decades witness FLOPS (Floating-point Operations per Second) as...
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01/28/2018
BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing
The past decades witness FLOPS (Floating-point Operations per Second), a...
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01/12/2018
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience
We present AliMe Assist, an intelligent assistant designed for creating ...
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01/08/2018
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition
In this paper, we proposed a effective but extensible residual one-dimen...
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12/12/2017