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  • ...underlying properties of its source. A typical application of time-series segmentation is in [[Speaker diarisation|speaker diarization]], in which an audio signal ==Overview of the segmentation problem== ...
    5 KB (739 words) - 21:52, 12 June 2024
  • ...k a union job than a non-union job.<ref>{{cite journal |title=Labor Market Segmentation and the Union Wage Premium |first1=William T. |last1=Dickens |first2=Kevin ...hat as a consequence of unions raising their wages especially if about the market rate wage, it can cause serious firm profitability and eventually jobs coul ...
    11 KB (1,604 words) - 23:17, 15 February 2025
  • ...uid so that the accuracy of pricing models cannot be verified with regular market trades.<ref>{{cite web|url=https://www.promontory.com:3000/static/pdf/16044 ...for its valuation. Inputs are defined by IFRS 13 as "The assumptions that market participants would use when pricing the asset or liability, including assum ...
    22 KB (3,207 words) - 09:59, 29 July 2024
  • ...t2=James |last3=Pakes |first3=Ariel |date=1995 |title=Automobile Prices in Market Equilibrium |journal=Econometrica |volume=63 |issue=4 |pages=841–890 |doi=1 * ''Latent Classes:'' capturing hidden segmentation in terms of taste parameters, choice sets, and decision protocols; ...
    17 KB (2,394 words) - 22:21, 26 January 2025
  • ...t2=James |last3=Pakes |first3=Ariel |date=1995 |title=Automobile Prices in Market Equilibrium |url=https://www.jstor.org/stable/2171802 |journal=Econometrica * ''Latent Classes:'' capturing hidden segmentation in terms of taste parameters, choice sets, and decision protocols; ...
    19 KB (2,642 words) - 10:48, 26 December 2024
  • ...is, such as when a business or product has recently been introduced to the market. ...requirements, or making decisions on whether to enter a [[market entry|new market]].<ref>{{Citation |last=Adhikari |first=Nimai Chand Das |title=An Intellige ...
    21 KB (3,138 words) - 18:29, 8 December 2024
  • * Mountains is compatible with most instruments of the market capable of supplying images or topography.<ref>[https://www.digitalsurf.com ...of [[scanning electron microscope]] images based on object-oriented image segmentation.<ref>[http://www.azom.com/news.aspx?newsID=45031 ''Next Monday, Digital Sur ...
    19 KB (2,547 words) - 05:00, 6 February 2025
  • ...e [[stock market]] data and detect suspicious symptom of [[stock price]] [[Market manipulation|manipulation]].<ref name="ReferenceA"/> ...21 |title=Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images |url=https://linkinghub.elsevier.com/retrieve/pii/S13618415210 ...
    53 KB (7,534 words) - 06:25, 28 February 2025
  • ...eeler>Keeler, James D., David E. Rumelhart, and Wee-Kheng Leow. Integrated Segmentation and Recognition of Hand-Printed Numerals. Microelectronics and Computer Tec ...ons, ranging from image concept learning and text categorization, to stock market prediction. ...
    34 KB (5,313 words) - 15:00, 14 October 2024
  • ...se unique characteristics lead to price dynamics not observed in any other market, exhibiting daily, weekly and often annual [[seasonality]] and abrupt, shor ...ad have become of particular interest to power portfolio managers. A power market company able to forecast the volatile wholesale prices with a reasonable le ...
    66 KB (8,802 words) - 06:05, 18 November 2024
  • ...mixture of anisotropic Gaussian kernels.<ref>Ouillon, G., and D. Sornette, Segmentation of Fault Networks Determined from Spatial Clustering of Earthquakes, J. Geo ...ion of forecasts of [[financial bubble]]s.<ref>T. Kaizoji and D. Sornette, Market Bubbles and Crashes, published in the Encyclopedia of Quantitative Finance ...
    60 KB (8,410 words) - 14:57, 4 January 2025
  • [[File:T-segment-metallization.svg|thumb|right|"T metallization" segmentation to isolate and reduce damage during the self-healing process]] ...n]], [[Siemens]] and [[Philips]] were trend-setters and leaders in a world market driven by consumer electronics.<ref>{{cite web|author=Cyril Bateman |title= ...
    116 KB (16,371 words) - 15:03, 15 October 2024
  • ...ts, but are very effective at their intended tasks (e.g. classification or segmentation). ....edu/~weng/research/CresceptronICCV1993.pdf|title=Learning recognition and segmentation of 3-D objects from 2-D images|conference=4th International Conf. Computer ...
    89 KB (12,410 words) - 12:07, 29 January 2025
  • ...|pmid=20577468}}</ref> In 1991, a CNN was applied to medical image object segmentation<ref>{{cite journal |last=Zhang |first=Wei |date=1991 |title=Image processin .../big-data/ai-machine-learning/gpus-continue-to-dominate-the-ai-accelerator-market-for-now/a/d-id/1336475 |url-status=live }}</ref> [[OpenAI]] estimated the h ...
    180 KB (23,460 words) - 20:17, 27 February 2025