Academic literature on the topic 'PERCEPTUAL LOOS'
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Journal articles on the topic "PERCEPTUAL LOOS"
Cohen, Stewart. "Suppositional Reasoning and Perceptual Justification." Logos & Episteme 7, no. 2 (2016): 215–19. http://dx.doi.org/10.5840/logos-episteme20167220.
Full textQuarona, D., M. Raffuzzi, M. Costantini, and C. Sinigaglia. "Preventing action slows down performance in perceptual judgment." Experimental Brain Research 238, no. 12 (October 13, 2020): 2857–64. http://dx.doi.org/10.1007/s00221-020-05948-y.
Full textYi, Do-Joon, Nicholas B. Turk-Browne, Marvin M. Chun, and Marcia K. Johnson. "When a Thought Equals a Look: Refreshing Enhances Perceptual Memory." Journal of Cognitive Neuroscience 20, no. 8 (August 2008): 1371–80. http://dx.doi.org/10.1162/jocn.2008.20094.
Full textMcGrath, Matthew. "Looks and Perceptual Justification." Philosophy and Phenomenological Research 96, no. 1 (April 1, 2016): 110–33. http://dx.doi.org/10.1111/phpr.12289.
Full textPeebles, Graham. "Looks Indexing." Grazer Philosophische Studien 94, no. 1-2 (June 14, 2017): 138–52. http://dx.doi.org/10.1163/18756735-000006.
Full textAndersh, Jonathan, and Bérénice Mettler. "Modeling the Human Visuo-Motor System to Support Remote-Control Operation." Sensors 18, no. 9 (September 6, 2018): 2979. http://dx.doi.org/10.3390/s18092979.
Full textLyons, Jack. "Perceptual Belief and Nonexperiential Looks." Philosophical Perspectives 19, no. 1 (December 2005): 237–56. http://dx.doi.org/10.1111/j.1520-8583.2005.00061.x.
Full textGhijsen, Harmen. "Do looks constitute our perceptual evidence?" Philosophical Issues 30, no. 1 (September 16, 2020): 132–47. http://dx.doi.org/10.1111/phis.12176.
Full textIrvin, Sherri. "Forgery and the Corruption of Aesthetic Understanding." Canadian Journal of Philosophy 37, no. 2 (June 2007): 283–304. http://dx.doi.org/10.1353/cjp.2007.0016.
Full textPrieto, Adolfo G. "From conceptual to perceptual reality: trust in digital repositories." Library Review 58, no. 8 (September 4, 2009): 593–606. http://dx.doi.org/10.1108/00242530910987082.
Full textDissertations / Theses on the topic "PERCEPTUAL LOOS"
SOHALIYA, GAURAV. "SEMANTIC SEGMENTATION USING CONDITIONAL GAN WITH PERCEPTUAL LOSS." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18857.
Full textGrund, Pihlgren Gustav. "Deep Perceptual Loss for Improved Downstream Prediction." Licentiate thesis, Luleå tekniska universitet, EISLAB, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-86440.
Full textJoshi, Yetish. "Low complexity in-loop perceptual video coding." Thesis, Middlesex University, 2016. http://eprints.mdx.ac.uk/21278/.
Full textBollhagen, Andrew. "An empirical look at the transparency of perceptual experience." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10147308.
Full textThe thesis that perceptual experience is transparent has received considerable air-time in contemporary philosophy of mind and perception. Debate over its truth-value has reached an impasse. I diagnose this mired debate, and pursue a reformulation of the “transparency thesis” such that it can be more readily evaluated form the perspective of perceptual psychology and related subdisciplines. I argue that the empirical methods characteristic of these disciplines are important for evaluating the transparency thesis. Both historical and contemporary empirical results but substantial pressure on the transparency thesis.
May, Richard John. "Perceptual content loss in bit rate constrained IFS encoded speech." Thesis, University of Portsmouth, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396323.
Full textWhitton, Jonathon (Jonathon Paul). "Neural and perceptual correlates of closed-loop sensorimotor training: basic and applied studies." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107339.
Full textCataloged from PDF version of thesis.
Includes bibliographical references.
The global hearing healthcare field is faced with two principal challenges. First, the demand for basic audiometric testing services far exceeds the capacity of trained clinicians even in high income countries, and this supply/demand mismatch is expected to worsen secondary to population aging. Next, once patients are identified as having a hearing loss, the treatments that are provided (hearing aids) do not sufficiently address their primary complaint, namely that they have trouble hearing in noisy environments. To begin to address the first problem, we executed a proof-of-concept study to ask whether mobile consumer electronics could be used to replace manually performed clinic-based testing with self-directed hearing measurements from home. We found that self-administered home hearing measurements were largely equivalent to standard clinical measures. To begin to address the second problem (hearing in noise challenges of patients), we performed three additional experiments. Inspired by promising findings of enhanced visual attention following action videogame training, we developed a closed-loop audiomotor training application and asked if playing a game that focused on tone in noise discriminations would provide generalized benefit for speech recognition in noise abilities. In young normally hearing adults, closed-loop training for one month provided a 12 percentage point improvement in speech understanding in noise scores. Next, we recruited older adults who wore hearing aids to play a similar closed-loop training game and observed a 10 percentage point enhancement of speech recognition in noise abilities secondary to gameplay, suggesting that this training could be coupled with standard treatments to improve patient outcomes. Finally, we studied the neurophysiological correlates of audiomotor signal in noise training in a rodent model, where we observed enhanced resistance to noise suppression in auditory cortical neurons following three months of training, perhaps contributing to the perceptual benefits that we observed in human subjects.
by Jonathon Whitton.
Ph. D.
Reike, Dennis [Verfasser], and Wolfgang [Akademischer Betreuer] Schwarz. "A look behind perceptual performance in numerical cognition / Dennis Reike ; Betreuer: Wolfgang Schwarz." Potsdam : Universität Potsdam, 2017. http://d-nb.info/121840342X/34.
Full textWang, Mike M. Eng Massachusetts Institute of Technology. "Product perceptual mapping on fashion designs with Gaussian mixture variational autoencoder and triplet loss." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/121642.
Full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 51-53).
Product perceptual maps are visualizations of the perceptions of products by customers. They provide many advantages to businesses, such as identifying gaps in the market, understanding competition, and finding how new products fit into a market. Conventional product perceptual mapping methods exhibit limitations, particularly in capturing the highly nonlinear structure in product perceptual categories. Therefore, given only a set of images and triplet data representing product co-occurence by consumers, we propose and use a Gaussian mixture variational autoencoder (GMVAE) with triplet loss to create product embeddings. These product embeddings are then flattened into a 2D perceptual map able to be interpreted by human judgment. We test the GMVAE approach on three datasets: (1) a dataset of simple generated data; (2) the MNIST dataset, a dataset of handwritten digits; and (3) the Amazon Fashion dataset, a dataset of product images, product categories, and similar products. The GMVAE method is quantitatively evaluated on its ability to capture product "latent" categories, and qualitatively evaluated on the quality of its 2D perceptual maps compared with those produced by using a conventional perceptual mapping method. We find that across the experiments, the GMVAE method could reasonable capture "latent" perceptual product categories and is more effective than the conventional perceptual mapping baseline in correctly identifying and predicting latent product categories.
by Mike Wang.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Lauer, Amanda M. "Perceptual consequences of early-onset hereditary hearing loss in the Belgian Waterslager canary (Serinus canarius)." College Park, Md.: University of Maryland, 2006. http://hdl.handle.net/1903/3722.
Full textThesis research directed by: Psychology. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Daniell, Paul. "A Cross-Language Acoustic-Perceptual Study of the Effects of Simulated Hearing Loss on Speech Intonation." Thesis, University of Canterbury. Department of Communication Disorders, 2012. http://hdl.handle.net/10092/7646.
Full textBooks on the topic "PERCEPTUAL LOOS"
Body in mind: A new look at the somatosensory cortices. Hauppauge, N.Y: Nova Science Publishers, 2009.
Find full textMizrahi, Vivian. Perceptual Media, Glass and Mirrors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198722304.003.0012.
Full textPerceptual constancy: Why things look as they do. Cambridge, UK: Cambridge University Press, 1998.
Find full textPerceptual Constancy: Why Things Look as They Do. Cambridge University Press, 1998.
Find full textPerceptual Constancy: Why Things Look as They Do. Cambridge University Press, 2010.
Find full textAllen, Keith. Perceptual Constancy and Apparent Properties. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199666416.003.0002.
Full textDurgin, Frank H., and Zhi Li. Why Do Hills Look So Steep? Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0016.
Full textFunctions of the cortico-basal ganglia loop. Tokyo ; New York: Springer, 1995.
Find full textBrogaard, Berit. The Semantics of ‘Appear’ Words. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190495251.003.0002.
Full textDonkin, Chris, Babette Rae, Andrew Heathcote, and Scott D. Brown. Why Is Accurately Labeling Simple Magnitudes So Hard? A Past, Present, and Future Look at Simple Perceptual Judgment. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.6.
Full textBook chapters on the topic "PERCEPTUAL LOOS"
Moreau, Nicolas, Djamel Mostefa, Khalid Choukri, Rainer Stiefelhagen, and Susanne Burger. "Perceptual Component Evaluation and Data Collection." In Computers in the Human Interaction Loop, 159–76. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-054-8_15.
Full textOhmori, Shozo. "Double Look: Science Superposed on a Perceptual World." In Boston Studies in the Philosophy of Science, 67–86. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5175-7_5.
Full textSutschet, Gerhard. "The CHIL Reference Model Architecture for Multimodal Perceptual Systems." In Computers in the Human Interaction Loop, 291–96. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-054-8_23.
Full textStiefelhagen, Rainer. "Perceptual Technologies: Analyzing the Who, What, Where of Human Interaction." In Computers in the Human Interaction Loop, 9–10. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-054-8_2.
Full textDowns, Phillip E., and Richard G. Flood. "A Closer Look at the Reliability and Validity of Perceptual Maps." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 218–21. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16934-7_51.
Full textMcNeill, William E. S. "Expressions, Looks, and Others’ Minds." In Knowing Other Minds, 173–99. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198794400.003.0009.
Full textConnolly, Kevin. "Learned Attention and the Contents of Perception." In Perceptual Learning, 65–100. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190662899.003.0003.
Full textEggermont, Jos J. "Brain Plasticity and Perceptual Learning." In Hearing Loss, 37–69. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-12-805398-0.00002-5.
Full textConnolly, Kevin. "Is Perceptual Learning Genuinely Perceptual?" In Perceptual Learning, 38–62. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190662899.003.0002.
Full textCavallaro, Andrea, and Stefan Winkler. "Perceptual Semantics." In Multimedia Technologies, 1441–55. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-953-3.ch105.
Full textConference papers on the topic "PERCEPTUAL LOOS"
Ananthabhotla, Ishwarya, Sebastian Ewert, and Joseph A. Paradiso. "Towards a Perceptual Loss." In MM '19: The 27th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3343031.3351148.
Full textVarela, Martin, Toni Mäki, Lea Skorin-Kapov, and Tobias Hoßfeld. "Increasing Payments in Crowdsourcing: Don't look a gift horse in the mouth!" In 4th International Workshop on Perceptual Quality of Systems (PQS 2013). ISCA: ISCA, 2013. http://dx.doi.org/10.21437/pqs.2013-4.
Full textPitrey, Yohann, and Helmut Hlavacs. "You look blocky, is everything alright? Influence of video distortions on facial expression recognition and quality." In 4th International Workshop on Perceptual Quality of Systems (PQS 2013). ISCA: ISCA, 2013. http://dx.doi.org/10.21437/pqs.2013-11.
Full textTuceryan, Mihran, and Narendra Ahuja. "Perceptual Grouping Of Dot Patterns." In OE LASE'87 and EO Imaging Symp (January 1987, Los Angeles), edited by Hua-Kuang Liu and Paul S. Schenker. SPIE, 1987. http://dx.doi.org/10.1117/12.939989.
Full textPihlgren, Gustav Grund, Fredrik Sandin, and Marcus Liwicki. "Improving Image Autoencoder Embeddings with Perceptual Loss." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207431.
Full textSankar, Rahul, Ashwin Nair, Prince Abhinav, Siva Krishna P. Mothukuri, and Shashidhar G. Koolagudi. "Image Colorization Using GANs and Perceptual Loss." In 2020 International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2020. http://dx.doi.org/10.1109/aisp48273.2020.9073284.
Full textYou, Junyong. "Video Gaze Prediction: Minimizing Perceptual Information Loss." In 2012 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2012. http://dx.doi.org/10.1109/icme.2012.191.
Full textKoguciuk, Daniel, Elahe Arani, and Bahram Zonooz. "Perceptual Loss for Robust Unsupervised Homography Estimation." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2021. http://dx.doi.org/10.1109/cvprw53098.2021.00483.
Full textMakarov, Ilya, Vladimir Aliev, Olga Gerasimova, and Pavel Polyakov. "[POSTER] Depth Map Interpolation Using Perceptual Loss." In 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct). IEEE, 2017. http://dx.doi.org/10.1109/ismar-adjunct.2017.39.
Full textPica, Albert P. "Perceptual Analysis Of Sampled Color Monitor Displays." In 1988 Los Angeles Symposium--O-E/LASE '88, edited by Gary W. Hughes, Patrick E. Mantey, and Bernice E. Rogowitz. SPIE, 1988. http://dx.doi.org/10.1117/12.944716.
Full textReports on the topic "PERCEPTUAL LOOS"
Vaughan, Barry D. Soldier-in-the-Loop Target Acquisition Performance Prediction Through 2001: Integration of Perceptual and Cognitive Models. Fort Belvoir, VA: Defense Technical Information Center, July 2006. http://dx.doi.org/10.21236/ada451392.
Full textAlarcón, Enzo. Clase Magistral de Intercambio. Taller Teórico-Práctico de Procesos Fonéticos-Fonológicos. Universidad Santa Paula-Universidad Autónoma de Chile. Universidad Autónoma de Chile, June 2021. http://dx.doi.org/10.32457/video20211.
Full textAlarcón, Enzo. Clase Magistral de Intercambio. Taller Teórico-Práctico de Procesos Fonéticos-Fonológicos. Universidad Santa Paula-Universidad Autónoma de Chile. Universidad Autónoma de Chile, June 2021. http://dx.doi.org/10.32457/20211.
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