Results 61 to 70 of about 329,565 (120)
IEEE AccessLarge-scale image and text representation learning is critical in determining the performance of multimodal tasks involving images and text, such as visual question answering and image captioning.
Yang Qin, Shuxue Ding, Huiming Xie
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An Improved QSPR Modeling of Hydrocarbon Dipole Moments
The Scientific World Journal, 2004 Dipole moments of hydrocarbons are not an easy property to model with conventional 2D descriptors. A comparison of the performance of the most commonly used sets of topological descriptors is presented, each set containing descriptors derived from the ...
Igor V. Nesterov +3 more
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Computer Physics Communications, 2009 We present a procedure that in many cases enables the Monte Carlo sampling of states of a large system from the sampling of states of a smaller system. We illustrate this procedure, which we call the sewing algorithm, for sampling states from the transfer matrix of the two-dimensional Ising model.
Thomas E. Booth, James E. Gubernatis
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Plant Species Recognition Using Triangle-Distance Representation
IEEE Access, 2019 Plant species recognition using leaf images is a highly important and challenging issue in botany and pattern recognition. A center problem of this task is how to accurately extract leaf image characteristics and quickly calculate the similarity between ...
Chengzhuan Yang, Hui Wei
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International Journal of Distributed Sensor Networks, 2015 We propose a selective random cyclic-delay diversity (CDD) enhanced joint cooperative relay and hybrid automatic repeat request (HARQ) scheme for two-hop vehicular communications.
Gang Wu, Qinghe Du, Kun Hua
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A DeepSHAP-Based Adversarial Attack on Machine Learning-Based Network Intrusion Detection
IEEE AccessWe propose an adversarial attack for machine-learning-based network intrusion detection systems that selectively alters only the most influential features.
Byung Chang Chung, Gyu-Bum Han
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Archives of Acoustics, 2013 The development of digital signal processors and the increase in their computing capabilities bring opportunities to employ algorithms with multiple variable parameters in active noise control systems.
Tomasz KRUKOWICZ
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Synthesis of discrete–continuous quantum circuits with multimodal diffusion models
Machine Learning: Science and TechnologyEfficiently compiling quantum operations remains a major bottleneck in scaling quantum computing. Today’s state-of-the-art methods achieve low compilation error by combining search algorithms with gradient-based parameter optimization, but they incur ...
Florian Fürrutter +4 more
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Value chain optimization in large scale gas network considering elevation and transmission direction
Scientific ReportsA large Chinese energy company operates the largest gas pipe network in China, spanning some 40 thousand kilometres of pipelines and encompassing 119 compressor stations across 650 cities. The company determines the quantity of gas purchased or extracted
Xifeng Ning, Jinfeng Qiu, Dejun Yu
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, 2002 Summary: Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studied in terms of the hypothesis class that they draw their hypotheses from. In this paper, motivated by the luckiness framework of Shawe-Taylor et al.
Herbrich, Ralf, Williamson, Robert
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