{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T15:51:15Z","timestamp":1787759475795,"version":"build-2784847793"},"reference-count":11,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2009,2]]},"abstract":"<jats:p> In this paper, the Selected Objects Extraction (SOE) CNN is generalized to Directional Extraction (DE) CNN which enhances the capabilities of the SOE CNN. Using analytical approaches, a theorem to design robust templates for DE CNN is established. The theorem provides parameter inequalities to determine parameter intervals in which the templates can implement the corresponding functions. Based on the theorem, an optimal model is set up to design optimally robust templates for DE CNN. Two examples are provided to illustrate the effectiveness of the theorem. <\/jats:p>","DOI":"10.1142\/s0218001409007041","type":"journal-article","created":{"date-parts":[[2009,3,20]],"date-time":"2009-03-20T10:36:08Z","timestamp":1237545368000},"page":"87-100","source":"Crossref","is-referenced-by-count":5,"title":["ROBUST DESIGNS FOR TEMPLATES OF DIRECTIONAL EXTRACTION CELLULAR NEURAL NETWORK WITH APPLICATIONS"],"prefix":"10.1142","volume":"23","author":[{"given":"JINZHU","family":"LIU","sequence":"first","affiliation":[{"name":"School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"LEQUAN","family":"MIN","sequence":"additional","affiliation":[{"name":"Schools of Information Engineering and Applied Science, University of Science and Technology Beijing, Beijing 100083, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1109\/31.7600"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127497001618"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511754494"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127404009545"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1109\/81.747207"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127407018920"},{"key":"rf10","first-page":"151","volume":"41","author":"Liu J.","journal-title":"Commun. Th. Phys."},{"key":"rf11","first-page":"189","volume":"45","author":"Li W.","journal-title":"Commun. Th. Phys."},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127407018816"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1002\/cta.395"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(97)00092-5"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001409007041","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:17:33Z","timestamp":1565144253000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001409007041"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,2]]},"references-count":11,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2009,2]]}},"alternative-id":["10.1142\/S0218001409007041"],"URL":"https:\/\/doi.org\/10.1142\/s0218001409007041","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,2]]}}}