Toward fine-grained traffic classification
WebThoughtworks. Jun 2024 - Present5 years 11 months. Pune Area, India. * Co-defining the vision and roadmap of this initiative. * Developing strategies for technology and domain focus. * Establishing collaborations with research labs and institutions for various disciplines, ranging from astronomy & astrophysics to biology to urban sciences. WebOct 21, 2024 · Fine-grained classification is a challenging problem due to subtle ... computer vision software to process live surveillance videos and recognize brand and …
Toward fine-grained traffic classification
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WebIn this paper, we move towards fine-grained reasoning for fake news detection by better reflecting the logical processes of human thinking and enabling the modeling of subtle clues. In particular, we propose a fine-grained reasoning framework by following the human’s information-processing model, introduce a mutual-reinforcement-based method ... WebWeakly Supervised Posture Mining for Fine-grained Classification Zhenchao Tang · Hualin Yang · Calvin Yu-Chian Chen IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients Ruo Yang · Binghui Wang · Mustafa Bilgic Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
WebSep 23, 2016 · Toward fine-grained traffic classification; of 8 /8. ... Understanding traffic behavior is an important part of network operations and management. A decade of research on traffic classification has provided various techniques to … WebJun 30, 2011 · However, the level of classification details is often bounded to identifying protocols or applications in use. In this article, we propose a fine-grained traffic …
WebWeakly Supervised Posture Mining for Fine-grained Classification Zhenchao Tang · Hualin Yang · Calvin Yu-Chian Chen IDGI: A Framework to Eliminate Explanation Noise from … WebIn this article, we devise a novel fine-grained image classification approach named Multi-scale Selective Hierarchical biQuadratic Pooling (MSHQP). The proposed biquadratic pooling simultaneously models intra and inter layer feature interactions and enhances part response by integrating multi-layer features.
WebExtracting fine-grained patterns involves expensive spatial aggregation of measurements, storage, and post-processing. In this paper, we propose a mobile traffic super-resolution technique that overcomes these problems by inferring narrowly localised traffic consumption from coarse measurements. We draw inspiration from image processing …
WebWe introduce MobilityNet: the first step towards a common ground for multi-modal mobility research. MobilityNet solves the holistic evaluation, privacy preservation and fine grained ground truth problems through the use of artificial trips, control phones, and repeated travel. rottach egern campingplatzWebJan 8, 2024 · The purpose of traffic classification is to allocate bandwidth to different types of data on a network. ... Skytracer: Towards fine-grained identification for Skype traffic via sequence signatures. In 2014 International Conference on Computing, Networking and Communications ... rottach therme bad birnbachWebJan 1, 2024 · Recently, fine-grained network traffic identification has been proved to be an effective solution for managing network resources. There is a massive increase in the use of fine-grained network traffic identification in the communications industry. In this article, we propose a comprehensive overview of fine-grained network traffic identification. strand surgery log inWebExperiments with the developed hardware in two different scenarios—low traffic (i.e., 400 objects) and heavy traffic roads (i.e., 1000 objects)—demonstrate its ability to detect cars and trucks. The system can be used to provide estimates of vehicle numbers for streets not covered by official traffic monitoring techniques in future smart cities. strand surf forecastWebAug 31, 2012 · Traffic classification is still today a challenging problem given the ever evolving nature of the Internet in which new protocols and applications arise at a constant … rotta clothesWebDec 31, 2024 · In this article, we propose a fine-grained traffic classification scheme based on the analysis of existing classification methodologies. This scheme allows to classify … rotta constructionWebJul 5, 2024 · The core for tackling the fine-grained visual categorization (FGVC) is to learn subtle yet discriminative features. Most previous works achieve this by explicitly selecting the discriminative parts or integrating the attention mechanism via CNN-based approaches.However, these methods enhance the computational complexity and make … rottach wetter