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09/05/2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
Support-query shift few-shot learning aims to classify unseen examples (...
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12/09/2022
Object Goal Navigation with End-to-End Self-Supervision
A household robot should be able to navigate to target locations without...
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11/28/2022
Generalized Category Discovery with Decoupled Prototypical Network
Generalized Category Discovery (GCD) aims to recognize both known and no...
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10/26/2022
Multiscale multimesh finite element method | M^2-FEM: Hierarchical mesh-decoupling for integral structural theories
This study presents a generalized multiscale multimesh finite element me...
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09/23/2022
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance
Collision avoidance is key for mobile robots and agents to operate safel...
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07/06/2022
Multiscale nonlocal beam theory: An application of distributed-order fractional operators
This study presents a comprehensive theoretical framework to simulate th...
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05/08/2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift
Few-shot learning methods aim to embed the data to a low-dimensional emb...
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12/24/2021
Multiscale Nonlocal Elasticity: A Distributed Order Fractional Formulation
This study presents a generalized multiscale nonlocal elasticity theory ...
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10/23/2021
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks
With event-driven algorithms, especially the spiking neural networks (SN...
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07/03/2021
Architecture Information Communication in Two OSS Projects: the Why, Who, When, and What
Architecture information is vital for Open Source Software (OSS) develop...
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04/06/2021
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing
Currently, a growing number of mature natural language processing applic...
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03/14/2021
Learning a Proposal Classifier for Multiple Object Tracking
The recent trend in multiple object tracking (MOT) is heading towards le...
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08/13/2020
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
Accurate localization is a foundational capacity, required for autonomou...
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05/02/2020
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Neuromorphic data, recording frameless spike events, have attracted cons...
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02/23/2020
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance
The study of model bias and variance with respect to decision boundaries...
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02/20/2020
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis
SummerTime seeks to summarize globally time series signals and provides ...
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01/10/2020
GeoCMS : Towards a Geo-Tagged Media Management System
In this paper, we propose the design and implementation of the new geota...
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01/03/2020
Fair Auction and Trade Framework for Cloud VM Allocation based on Blockchain
Cloud auctions provide cost-effective strategies for cloud VM allocation...
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11/08/2019
CFS: A Distributed File System for Large Scale Container Platforms
We propose CFS, a distributed file system for large scale container plat...
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04/28/2019
Measuring similarity between geo-tagged videos using largest common view
This paper presents a novel problem for discovering the similar trajecto...
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12/17/2018
Most memory efficient distributed super points detection on core networks
The super point, a host which communicates with lots of others, is a kin...
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12/01/2018
VATE: a trade-off between memory and preserving time for high accuracy cardinalities estimation under sliding time window
Host cardinality is one of the important attributes in the field of netw...
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10/01/2018
Truncated Laplacian Mechanism for Approximate Differential Privacy
We derive a class of noise probability distributions to preserve (ϵ, δ)-...
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09/26/2018
Optimal Noise-Adding Mechanism in Additive Differential Privacy
We derive the optimal (0, δ)-differentially private query-output indepen...
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03/28/2018
SRLA: A real time sliding time window super point cardinality estimation algorithm for high speed network based on GPU
Super point is a special host in network which communicates with lots of...
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04/05/2017
Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation
Accelerometer measurements are the prime type of sensor information most...
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04/26/2016
Scale Normalization
One of the difficulties of training deep neural networks is caused by im...
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03/14/2016
Rapid building detection using machine learning
This work describes algorithms for performing discrete object detection,...
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03/02/2016
LOFS: Library of Online Streaming Feature Selection
As an emerging research direction, online streaming feature selection de...
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02/18/2016
RandomOut: Using a convolutional gradient norm to rescue convolutional filters
Filters in convolutional neural networks are sensitive to their initiali...
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01/05/2016
Crater Detection via Convolutional Neural Networks
Craters are among the most studied geomorphic features in the Solar Syst...
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10/05/2015