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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