Matches in SemOpenAlex for { <https://semopenalex.org/work/W1995176139> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W1995176139 abstract "AiTR is well developed field of R/D. Nonetheless. a relatively poor under-sampled infrared video may achieve a sharper imagery by smart pre-processing, similar to super-resolution attempts; the difference is in the details. We took a local adaptive contrast enhancement to exploit the pixel intensity correlation, such as smoothness, contrast, and continuity, among neighborhood pixels of variable region sizes, so-called adaptive local contrast enhancement. The final success or failure rate of AiTR will depend on the choice of cost function, such as LMS, etc. In that, we found that a sparse samples do not satisfy the usual underlying Gaussian assumption, of which the Maximum Likelihood, the Bayesian, the Fisher Rao criteria, etc. are usually depending on a priori assumption of dense sampling approaching the Gaussian statistics. Thus, in this paper, we have developed a sparse sampling classifier, called the min-Max classifier for Aided Target Recognition (AiTR), to minimize the intra-class dispersion and at the same to maximize the inter-class separation to select the optimum features vectors. As a standard test case, we choose Petland eigen-faces to benchmark our performance. We apply Szu's lossless divide and conquer theorem solving the NP Complete TSP solution to treat the multiple classes AiTR, in order to achieve min-Max classifier more efficiently than pair-wise SVM classifier." @default.
- W1995176139 created "2016-06-24" @default.
- W1995176139 creator A5015942232 @default.
- W1995176139 creator A5064267492 @default.
- W1995176139 creator A5091644560 @default.
- W1995176139 date "2009-04-13" @default.
- W1995176139 modified "2023-09-23" @default.
- W1995176139 title "Aided infrared target classifier pre-processing by adaptive local contrast enhancement" @default.
- W1995176139 cites W1964805403 @default.
- W1995176139 cites W1990972854 @default.
- W1995176139 cites W2003243598 @default.
- W1995176139 cites W2033970986 @default.
- W1995176139 cites W2061270630 @default.
- W1995176139 cites W2083996091 @default.
- W1995176139 cites W2098693229 @default.
- W1995176139 cites W2103967092 @default.
- W1995176139 cites W2116044718 @default.
- W1995176139 cites W2145000468 @default.
- W1995176139 cites W2743066794 @default.
- W1995176139 cites W2914275007 @default.
- W1995176139 cites W629537191 @default.
- W1995176139 cites W2403490802 @default.
- W1995176139 doi "https://doi.org/10.1117/12.822203" @default.
- W1995176139 hasPublicationYear "2009" @default.
- W1995176139 type Work @default.
- W1995176139 sameAs 1995176139 @default.
- W1995176139 citedByCount "0" @default.
- W1995176139 crossrefType "proceedings-article" @default.
- W1995176139 hasAuthorship W1995176139A5015942232 @default.
- W1995176139 hasAuthorship W1995176139A5064267492 @default.
- W1995176139 hasAuthorship W1995176139A5091644560 @default.
- W1995176139 hasConcept C111472728 @default.
- W1995176139 hasConcept C11413529 @default.
- W1995176139 hasConcept C121332964 @default.
- W1995176139 hasConcept C138885662 @default.
- W1995176139 hasConcept C153180895 @default.
- W1995176139 hasConcept C154945302 @default.
- W1995176139 hasConcept C160633673 @default.
- W1995176139 hasConcept C163716315 @default.
- W1995176139 hasConcept C41008148 @default.
- W1995176139 hasConcept C62520636 @default.
- W1995176139 hasConcept C75553542 @default.
- W1995176139 hasConcept C95623464 @default.
- W1995176139 hasConceptScore W1995176139C111472728 @default.
- W1995176139 hasConceptScore W1995176139C11413529 @default.
- W1995176139 hasConceptScore W1995176139C121332964 @default.
- W1995176139 hasConceptScore W1995176139C138885662 @default.
- W1995176139 hasConceptScore W1995176139C153180895 @default.
- W1995176139 hasConceptScore W1995176139C154945302 @default.
- W1995176139 hasConceptScore W1995176139C160633673 @default.
- W1995176139 hasConceptScore W1995176139C163716315 @default.
- W1995176139 hasConceptScore W1995176139C41008148 @default.
- W1995176139 hasConceptScore W1995176139C62520636 @default.
- W1995176139 hasConceptScore W1995176139C75553542 @default.
- W1995176139 hasConceptScore W1995176139C95623464 @default.
- W1995176139 hasLocation W19951761391 @default.
- W1995176139 hasOpenAccess W1995176139 @default.
- W1995176139 hasPrimaryLocation W19951761391 @default.
- W1995176139 hasRelatedWork W1965781815 @default.
- W1995176139 hasRelatedWork W2001652754 @default.
- W1995176139 hasRelatedWork W2136485282 @default.
- W1995176139 hasRelatedWork W2546871836 @default.
- W1995176139 hasRelatedWork W2547748020 @default.
- W1995176139 hasRelatedWork W2549006548 @default.
- W1995176139 hasRelatedWork W3043252291 @default.
- W1995176139 hasRelatedWork W3160284275 @default.
- W1995176139 hasRelatedWork W4214932115 @default.
- W1995176139 hasRelatedWork W3158004940 @default.
- W1995176139 isParatext "false" @default.
- W1995176139 isRetracted "false" @default.
- W1995176139 magId "1995176139" @default.
- W1995176139 workType "article" @default.