{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:43:32Z","timestamp":1740120212393,"version":"3.37.3"},"reference-count":15,"publisher":"World Scientific Pub Co Pte Ltd","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2016,12]]},"abstract":"<jats:p> The manifold learning technique is a class of machine learning techniques that converts the intrinsic geometry of the data from higher to lower dimensional representation. The manifold learning technique in image analysis is used to view as a single point in a very high-dimensional space, a set of such points for population of images that may be well represented by a sub-manifold of the space that is likely to be nonlinear and of significantly lower dimensions. In this paper, we presented a new method to generate optimal random fields for image segmentation using local linear embedding manifold learning technique. This method gives better segmentation results compared to entropy classification and occlusion reasoning techniques. <\/jats:p>","DOI":"10.1142\/s0218001416540070","type":"journal-article","created":{"date-parts":[[2016,3,31]],"date-time":"2016-03-31T06:39:02Z","timestamp":1459406342000},"page":"1654007","source":"Crossref","is-referenced-by-count":3,"title":["Generation of Random Fields for Image Segmentation Using Manifold Learning Technique"],"prefix":"10.1142","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6565-2822","authenticated-orcid":false,"given":"Rambabu","family":"Pemula","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, Kakinada 533003, Andhra Pradesh, India"}]},{"given":"C.","family":"Nagaraju","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, YSR Engineering College of Yogi Vemana University, Proddatur 516360, Andhra Pradesh, India"}]}],"member":"219","published-online":{"date-parts":[[2016,11,23]]},"reference":[{"key":"S0218001416540070BIB001","first-page":"351","volume-title":"Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis","author":"Paul A.","year":"2012"},{"issue":"1","key":"S0218001416540070BIB002","first-page":"5","volume":"2","author":"Nagaraju C.","year":"2009","journal-title":"Int. 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