Online fortune-telling system using angle difference by Tan, Zhong Ming.

“…The objectives of the project were well achieved. Keywords: palm print, biometric identification, indexing algorithms, time-efficiency, fast Fourier transform, DFT(discrete Fourier transform), FFTW[13], computational cost.…”
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Smart computers : can you tell my mood ? by Seow, Mervin Jun Jie

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Come and tell mama : the socialization of anger through talk by Sharifah Adibah Binte Syed Zainal

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A plane measuring device by Criminisi, A, Reid, I, Zisserman, A

Telling meaningful stories about climate change and public law by Fisher, E

“…By using an essay by Ursula Le Guin on narrative forms, I show that other more meaningful narratives are possible to tell. Narratives that encompass a bigger picture and, in so doing, draw attention to how public law is a resource for the institutional and reasoning capacity required for responding to the polycentric and multivalent nature of climate change. …”

Metric rectification for perspective images of planes by Liebowitz, D, Zisserman, A

“…We describe the geometry constraints and algorithmic implementation for metric rectification of planes. The rectification allows metric properties, such as angles and length ratios, to be measured on the world plane from a perspective image. …”

Tails tell tales: chapter-wide manga transcriptions with character names by Sachdeva, R, Shin, G, Zisserman, A

“…</p> <p>To this end, we introduce: (i) Magiv2, a model that is capable of generating high-quality chapter-wide manga transcripts with named characters and significantly higher precision in speaker diarisation over prior works; (ii) an extension of the PopManga evaluation dataset, which now includes annotations for speech-bubble tail boxes, associations of text to corresponding tails, classifications of text as essential or non-essential, and the identity for each character box; and (iii) a new character bank dataset, which comprises over 11K characters from 76 manga series, featuring 11.5K exemplar character images in total, as well as a list of chapters in which they appear. …”

Speech emotion recognition on smart computer : can you tell the mood ? by Shao, Qing

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Linear auto-calibration for ground plane motion by Knight, J, Zisserman, A, Reid, I

“…For a camera undergoing a motion about a plane-normal rotation axis (typified for instance by a motion in the plane of the scene), the complex eigenvectors of a plane-induced homography are coincident with the circular points of the motion. …”

Neuroimaging meta regression for coordinate based meta analysis data with a spatial model by Yu, Y, Pintos Lobo, R, Riedel, MC, Bottenhorn, K, Laird, AR, Nichols, T

“…Coordinate-based meta-analysis combines evidence from a collection of neuroimaging studies to estimate brain activation. …”

Control-oriented meta-learning by Richards, Spencer M., Azizan, Navid, Slotine, Jean-Jacques, Pavone, Marco

“…Specifically, we meta-learn the adaptive controller with closed-loop tracking simulation as the base-learner and the average tracking error as the meta-objective. …”
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Story telling in animated VR - guiding the user through a mutli-scene narrative by Hodgkinson, Gray

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Organizational Stress and Well-Being / by Lapierre, Laurent M., editor 655504, Cooper, Sir Cary, editor 655505, Cambridge University Press (Online service) 655240

“…In this Cambridge Companion, global thought leaders in the fields of workplace stress and well-being highlight how theory and research can improve employee health and well-being. …”
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What do the rocks tell us? : A look at Tanjong Riamu's January 2021 landslides by Ng, Shannon Yan Yun

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Shear behavior of greenschist along foliation plane considering anisotropy by Zhang, Qingzhao, Wu, Chuangzhou, Jang, Bo-An, Fei, Xunchang

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Experimental investigation of bedding plane orientation on the rockburst behavior of sandstone by He, M. C., Nie, W., Zhao, Z. Y., Guo, Wei

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Semi-local projective invariants for the recognition of smooth plane curves by Carlsson, S, Mohr, R, Moons, T, Morin, L, Rothwell, C, Van Diest, M, Van Gool, L, Veillon, F, Zisserman, A

“…Recently, several methods have been proposed for describing plane, non-algebraic curves in a projectively invariant fashion. …”

Meta-Learning Frameworks for Imaging Applications / by Sharma, Ashok, 1977-, editor 319639, Sengar, Sandeep Singh, 1985-, editor 656390, Singh, Parveen, 1976-, editor 656391, IGI Global Scientific Publishing (Online service) 655412

“…Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. …”
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Meta-reinforcement learning in quantitative trading by Wong, Wei Jie

“…One technique used together with reinforcement learning to train an agent to adapt to new variations of tasks is deep meta-reinforcement learning (Meta-RL) (Wang, et al., 2017). …”
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Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement by Elhakim, Tarig, Mansur, Arian, Kondo, Jordan, Omar, Omar M. F., Ahmed, Khalid, Tabari, Azadeh, Brea, Allison, Ndakwah, Gabriel, Iqbal, Shams, Allegretti, Andrew S., Fintelmann, Florian J., Wehrenberg-Klee, Eric, Bridge, Christopher, Daye, Dania

“…Multivariable logistic regression showed that SMA (OR = 0.97, p < 0.01), SMI (OR = 0.94, p = 0.03), SFA (OR = 0.99, p = 0.01), and VFA (OR = 0.99, p = 0.02) remained significant predictors of 90-day mortality when adjusted for MELD score. ROC curve analysis demonstrated that including SMA, SFA, and VFA improves the predictive power of MELD score in predicting 90-day mortality after TIPS (AUC, 0.84; 95% CI: 0.77, 0.91; p = 0.02). …”
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