Zero-shot and few-shot learning with knowledge graphs: a comprehensive survey by Chen, J, Geng, Y, Chen, Z, Pan, JZ, He, Y, Zhang, W, Horrocks, I, Chen, H

“…In this survey, we have comprehensively reviewed over 90 articles about KG-aware research for two major sample shortage settings - zero-shot learning (ZSL) where some classes to be predicted have no labeled samples and few-shot learning (FSL) where some classes to be predicted have only a small number of labeled samples that are available. …”

Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…We describe a method for automatically obtaining object representations suitable for retrieval from generic video shots. The object representation consists of an association of frame regions. …”

Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…<p>We describe a method for automatically associating image patches from frames of a movie shot into object-level groups. The method employs both the appearance and motion of the patches.…”

Video shot detection and key frame extraction by Lu, Tong.

“…This thesis describes the design and development of algorithms for video shot detection and key frame extraction.…”
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Scalable near identical image and shot detection by Chum, O, Philbin, J, Isard, M, Zisserman, A

“…This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using Locality Sensitive Hashing for fast retrieval. …”

Single-Shot Decoding of Good Quantum LDPC Codes by Gu, Shouzhen, Tang, Eugene, Caha, Libor, Choe, Shin Ho, He, Zhiyang, Kubica, Aleksander

“…In this article, we prove that quantum Tanner codes also facilitate single-shot quantum error correction (QEC) of adversarial noise, where one measurement round (consisting of constant-weight parity checks) suffices to perform reliable QEC even in the presence of measurement errors. …”
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Visual food recognition using few-shot learning by Liu, Tianyi

“…In view of this, this project will study visual food recognition using few shot learning to solve the problem. We aim to study and use few-shot learning that can obtain the knowledge in the traning stage to recognize food categories with only a few samples. …”
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Semantic-guided distribution calibrating for few-shot classification by Qiu, Guochen

“…The meta-learning paradigm is a mainstream method to solve the problem of few-shot learning. It constructs multiple tasks through episodic training so that the model can quickly generalize to new tasks. …”
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Person spotting: video shot retrieval for face sets by Sivic, J, Everingham, M, Zisserman, A

“…</p> <br> <p>The result is a person retrieval system, able to retrieve a ranked list of shots containing a particular person in the manner of Google. …”

'Make flu shots available through Socso scheme' by Yusof, Teh Athira

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Classification of shot peening coverage based on deep learning technologies by Koh, Ren Wei

“…Shot peening is a cold working process widely used in the aerospace industry, currently, the shot peening process involves mainly an inspector performing visual inspection using a 10x magnifier and comparing the mental visual with an image reference. …”
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A survey of few-shot learning for biomedical time series by Li, C, Denison, T, Zhu, T

“…An emerging approach to overcome the scarcity of labeled data is to augment AI methods with human-like capabilities to leverage past experiences to learn new tasks with limited examples, called few-shot learning. This survey provides a comprehensive review and comparison of few-shot learning methods for biomedical time series applications. …”

Single-Shot Quantitative Polarization Imaging of Complex Birefringent Structure Dynamics by Ge, Baoliang, Zhang, Qing, Zhang, Rui, Lin, Jing-Tang, Tseng, Po-Hang, Chang, Che-Wei, Dong, Chen-Yuan, Zhou, Renjie, Yaqoob, Zahid, Bischofberger, Irmgard, So, Peter T. C.

“…We propose polarized shearing interference microscopy (PSIM), a single-shot quantitative polarization imaging method, for extracting the retardance and orientation angle of the laser beam transmitting through optically anisotropic specimens with complex structures. …”
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FSL-QuickBoost: Minimal-Cost Ensemble for Few-Shot Learning by Bai, Yunwei, Cai, Bill Yang, Tan, Ying Kiat, Zheng, Zangwei, Chen, Shiming, Chen, Tsuhan

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Sensor-based human activity recognition via zero-shot learning by Wang, Wei

“…For problems under this problem setting, as there are no labeled training instances belonging to the unseen classes, the zero-shot learning methods are used. We focus on three problems under this setting. …”
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Foreign exchange prediction and trading using low-shot machine learning by Faris Ahmad Ishak

“…One Shot and Few/Low Shot Machine Learning are new novel techniques using less data in sequence learning for prediction analysis. …”
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Transferability of visual search behaviour across different shot techniques in floorball by Neo, Xi

“…Hence, this study investigated the similarity of VSB and QE characteristics across the drag, wrist and slap shots when used to score a goal in floorball. As the cognitive processing requirements are similar across domain-specific aiming tasks, quantity and duration of fixations, together with QE onset, offset and, duration, are hypothesised to transfer similarly across the three shots. …”
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One-shot yield-cost relations in general quantum resource theories by Takagi, Ryuji, Regula, Bartosz, Wilde, Mark M.

“…Here, we establish a quantitative relation between the one-shot distillable resource yield and dilution cost in terms of transformation errors involved in these processes. …”
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Development and design optimisation of digital intensity measurement system for shot peening by Tarani, Dinesh Kumar

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Counting and mapping of subwavelength nanoparticles from a single shot scattering pattern by Chan, Eng Aik, Rendón-Barraza, Carolina, Wang, Benquan, Pu, Tanchao, Ou, Jun-Yu, Wei, Hongxin, Adamo, Giorgio, An, Bo, Zheludev, Nikolay I.

“…Here we introduce a super-resolution single-shot optical method for counting and mapping positions of subwavelength particles on a surface. …”
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