In this paper, we investigate the problem of the Fine-grained Trajectory Plan for multi-UAVs (FTP), in which m UAVs are used to collect data from a given WSN, where m ≥ 1. The problem entails not only to find the flight paths of multiple UAVs but also to design the detailed hovering and traveling plans on their paths for efficient data ...
To handle the small sample size problem, fine-tuning CNN is used to transfer the knowledge of pre-trained model for cancer type predicting. The dataset with one cancer is used for training a model. The pre-model is fine-tuned with the training set of a new cancer type, and the fine-tuned model could be used for identifying the new cancer type.
New York, NY, July 13, 2023 — The journals of ACM, the Association for Computing Machinery, once again had an impressive showing in the latest Journal Citation Reports …
By creating organic-looking fully autonomous agents that are capable of real-time interaction, we hope to create an experience that causes viewers to question what living with machines might feel like in a speculative far-future, and to imagine an alternative form of artificial intelligence that is neither threatening to humanity nor ...
The fine-grained interactions between video segments and phrases are usually neglected in cross-modal learning, which results in suboptimal retrieval performances. To tackle the problem, we propose a novel Fine-grained Cross-modal Alignment Network (FCA-Net), which considers the interactions between visual semantic units (i.e., sub-actions/sub ...
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Machine Learning for Fine-Grained Hardware Prefetcher Control. Pages 1–9. Previous Chapter Next Chapter. ABSTRACT. ... In Proceedings of the 42Nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 42). 316--326. Google Scholar Digital Library; John L. Henning. 2006. SPEC CPU2006 Benchmark Descriptions.
In 2022 IEEE/ACM International Workshop on Performance, Portability and ... Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023). ... In 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …
ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach. Authors: Qi Wen. NetEase Fuxi AI Lab, Hangzhou, China. ... ACM TOG, Vol. 38, 6 (2019), 1--12. Google Scholar Digital Library; Y. Gao and J. Wu. 2020. GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke ...
Small and large states of mind This invisible thing called soul, located in the depths of each human being without knowing very well where, in the head, the heart or elsewhere, …
This paper uses an abstract machine approach to compare the mechanisms of two parallel machines: the J-Machine and the CM-5. High-level parallel programs are translated by a single optimizing compiler to a fine-grained abstract parallel machine, TAM. A final compilation step is unique to each machine and optimizes for specifics of the architecture.
ACM is widely considered as the premier membership organization for computing professionals. Find out more about ACM, the ACM Awards program, the ACM mission statement, its transactions journals, SIGs (Special Interest Groups), conference, support for computer science education at all levels, advocacy for gender diversity, participation and …
ABSTRACT. Function-as-a-service (FaaS) is a promising execution environment for high-performance computing (HPC) and machine learning (ML) applications as it offers …
As a response to this challenge, this paper presents a comprehensive methodology to build a multi-objective recommender system using the power of machine learning, particularly focusing on the Light Gradient-Boosting Machine (LightGBM).
Abstract. The fact that real-world decisions made by artificial intelligences (AI) are often ethically loaded has led a number of authorities to advocate the development of "moral machines". I argue that the project of building "ethics" "into" machines ... Moral Machines: Teaching Robots Right from Wrong.
To incorporate fabrication variations and random defects in the testing framework, we propose a fine-grained adaptive testing method based on machine learning. We use …
About us. ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting educators, researchers and professionals to …
J. Liu, M. Nogueira, J. Fernandes and B. Kantarci, "Adversarial machine learning: A multilayer review of the state-of-the-art and challenges for wireless and mobile systems," in IEEE Communications Surveys & Tutorials, vol. 24, no. 1, pp. 123--159, Firstquarter 2022 Google Scholar Cross Ref
We introduce the TelecomTM system that uses pre-existing telecommunication fiber-optic cables as virtual strain sensors to sense vehicle-induced ground vibrations for fine-grained and ubiquitous traffic monitoring and characterization. Here we call it a ...
BSP Ultra-fine Pulverizer unit is also called ACM grindiner (Air classifier mill) Main Usage: This machine is consisted of main motor, auxiliary motor, and electrical control cabinet …
SQuAD: 100,000+ Questions for Machine Comprehension of Text. In Proc. of EMNLP. Google Scholar Cross Ref; Kirk Roberts, Sonya E Shooshan, Laritza Rodriguez, Swapna Abhyankar, Halil Kilicoglu, and Dina Demner-Fushman. 2015. The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs.
ACM's flagship magazine, Communications of the ACM, is the premier chronicler of computing technologies, covering the latest discoveries, innovations, and research that inspire and influence the field. Each month, Communications brings readers in-depth stories of emerging areas of computer science, new trends in IT, and practical …
No app for smartphone monitoring. As our best washing machine overall, the Electrolux ELFW7537AT stands out for its versatility and functionality. When it comes to laundry day, this washer ticks ...
ACM has named 68 members ACM Fellows for significant contributions in areas including algorithm design, computer graphics, cybersecurity, energy-efficient computing, mobile computing, software analytics, and web search, to name a few. The ACM Fellows program recognizes the top 1% of ACM Members for their outstanding accomplishments in …
ACM International Conference on Multimedia (ACM MM) (2003), 604–611. Google Scholar Digital Library; J. Liang, Z. Li, D. Cao, R. He, and J. Wang. 2016. Self-paced crossmodal subspace matching. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)(2016), 569–578. Google Scholar
Venkatanathan Varadarajan, Thawan Kooburat, Benjamin Farley, Thomas Ristenpart, and Michael M. Swift. 2012. Resource-freeing Attacks: Improve Your Cloud Performance (at Your Neighbor's Expense). In Proceedings of the 2012 ACM Conference on Computer and Communications Security (Raleigh, North Carolina, USA) (CCS '12). …
An FPGA-based Fine Tuning Accelerator for a Sparse CNN FPGA '19: Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable …
In this paper, the problem of optimal feedrate planning along a curved tool path for 3-axis CNC machines with the acceleration and jerk limits for each axis and the tangential velocity bound is addressed. It is proved that the optimal feedrate planning ...
In Proceedings of the IEEE/ACM international conference on Automated software engineering. 447–456. Google Scholar Rebecca Russell, Louis Kim, Lei Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul Ellingwood, and Marc McConley. 2018.
The Journal of Machine Learning Research (1,995) ACM Transactions on Graphics (882) IEEE/ACM Transactions on Audio, Speech and Language Processing (777) Communications of the ACM (645) ACM Transactions on Asian and Low-Resource Language Information Processing (626) ACM Transactions on Multimedia Computing, …
This work explores a win-win strategy for a multi-task framework with three stages: general pre-training, adaptive pre-training, and collaborative fine-tuning. The task-adaptive continual pre-training on a language model can obtain domain-specific contextual representations, further used to improve two related tasks, sentiment classification ...
Fine-tuning learns abundant feature expression for a wide range of natural images by using a pre-trained CNN model. It can be applied to a wide range of the neural network (NN)based computer vision problems. This paper proposes an FPGA-based fine-tuning accelerator for a sparse convolutional neural network (CNN).
Machine Learning for Fine-Grained Hardware Prefetcher Control. Pages 1–9. Previous Chapter Next Chapter. ABSTRACT. ... In Proceedings of the 42Nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 42). 316--326. Google Scholar Digital Library; John L. Henning. 2006. SPEC CPU2006 Benchmark Descriptions.
Rob Voorhees. Hosokawa Micron Powder Systems. An air classifier mill combines a mechanical impact mill with a dynamic air classifier. Ideal for large-vol-ume continuous …
Fine-grained grocery product recognition via camera is a challenging task to identify the visually similar products with subtle differences by using single-shot training examples. ... Incremental Learning for Fine-Grained Image Recognition. In Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval. ACM, 363--366 ...
