Matches in SemOpenAlex for { <https://semopenalex.org/work/W2494933002> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2494933002 abstract "The difficulty of searching for patterns in data is still exploratory and, ever increasing image datasets with high intra-class variations has created a large scope for generalizing image classification problems. This chapter initiates the inclusivity of discrete latent variables leading to mixture of Gaussians capturing multimodal distributions from segmented regions. Further, these mixtures are analyzed in maximum likelihood framework to extract discriminatory features in compact and de-correlated feature space. Conversely, it is less evident in literature that combining these features with diverse distance measure techniques and neural network classifiers improves the classification performance. In this chapter, we study, explore and demonstrate the idea of subspace mixture models as hybrid intelligent technique for image retrieval systems." @default.
- W2494933002 created "2016-08-23" @default.
- W2494933002 creator A5040022707 @default.
- W2494933002 creator A5067844546 @default.
- W2494933002 date "2016-01-01" @default.
- W2494933002 modified "2023-09-24" @default.
- W2494933002 title "An Impact of Gaussian Mixtures in Image Retrieval System" @default.
- W2494933002 cites W1624854622 @default.
- W2494933002 cites W1927091612 @default.
- W2494933002 cites W1964168965 @default.
- W2494933002 cites W1973757005 @default.
- W2494933002 cites W2003954498 @default.
- W2494933002 cites W2006296645 @default.
- W2494933002 cites W2011085767 @default.
- W2494933002 cites W2027922120 @default.
- W2494933002 cites W2028178656 @default.
- W2494933002 cites W2033116562 @default.
- W2494933002 cites W2033601173 @default.
- W2494933002 cites W2046589280 @default.
- W2494933002 cites W2057105140 @default.
- W2494933002 cites W207029777 @default.
- W2494933002 cites W2087876182 @default.
- W2494933002 cites W2097018403 @default.
- W2494933002 cites W2097290407 @default.
- W2494933002 cites W2106145073 @default.
- W2494933002 cites W2109868644 @default.
- W2494933002 cites W2110158442 @default.
- W2494933002 cites W2111993661 @default.
- W2494933002 cites W2119823327 @default.
- W2494933002 cites W2121647436 @default.
- W2494933002 cites W2122762031 @default.
- W2494933002 cites W2134814621 @default.
- W2494933002 cites W2138451337 @default.
- W2494933002 cites W2146474141 @default.
- W2494933002 cites W2154422044 @default.
- W2494933002 cites W2156909104 @default.
- W2494933002 cites W2165828254 @default.
- W2494933002 cites W2169551590 @default.
- W2494933002 cites W2295394636 @default.
- W2494933002 cites W2511437437 @default.
- W2494933002 doi "https://doi.org/10.4018/978-1-4666-9474-3.ch002" @default.
- W2494933002 hasPublicationYear "2016" @default.
- W2494933002 type Work @default.
- W2494933002 sameAs 2494933002 @default.
- W2494933002 citedByCount "0" @default.
- W2494933002 crossrefType "book-chapter" @default.
- W2494933002 hasAuthorship W2494933002A5040022707 @default.
- W2494933002 hasAuthorship W2494933002A5067844546 @default.
- W2494933002 hasConcept C115961682 @default.
- W2494933002 hasConcept C121332964 @default.
- W2494933002 hasConcept C154945302 @default.
- W2494933002 hasConcept C163716315 @default.
- W2494933002 hasConcept C31972630 @default.
- W2494933002 hasConcept C33923547 @default.
- W2494933002 hasConcept C41008148 @default.
- W2494933002 hasConcept C62520636 @default.
- W2494933002 hasConceptScore W2494933002C115961682 @default.
- W2494933002 hasConceptScore W2494933002C121332964 @default.
- W2494933002 hasConceptScore W2494933002C154945302 @default.
- W2494933002 hasConceptScore W2494933002C163716315 @default.
- W2494933002 hasConceptScore W2494933002C31972630 @default.
- W2494933002 hasConceptScore W2494933002C33923547 @default.
- W2494933002 hasConceptScore W2494933002C41008148 @default.
- W2494933002 hasConceptScore W2494933002C62520636 @default.
- W2494933002 hasLocation W24949330021 @default.
- W2494933002 hasOpenAccess W2494933002 @default.
- W2494933002 hasPrimaryLocation W24949330021 @default.
- W2494933002 hasRelatedWork W1587183002 @default.
- W2494933002 hasRelatedWork W190209625 @default.
- W2494933002 hasRelatedWork W1991848923 @default.
- W2494933002 hasRelatedWork W1992865234 @default.
- W2494933002 hasRelatedWork W2015576218 @default.
- W2494933002 hasRelatedWork W2060717544 @default.
- W2494933002 hasRelatedWork W2078435475 @default.
- W2494933002 hasRelatedWork W2096370614 @default.
- W2494933002 hasRelatedWork W2120701604 @default.
- W2494933002 hasRelatedWork W2127419638 @default.
- W2494933002 hasRelatedWork W2127538895 @default.
- W2494933002 hasRelatedWork W2133587495 @default.
- W2494933002 hasRelatedWork W2163627652 @default.
- W2494933002 hasRelatedWork W2164131589 @default.
- W2494933002 hasRelatedWork W2312492424 @default.
- W2494933002 hasRelatedWork W3046666224 @default.
- W2494933002 hasRelatedWork W3148595793 @default.
- W2494933002 hasRelatedWork W982995458 @default.
- W2494933002 hasRelatedWork W2149683013 @default.
- W2494933002 hasRelatedWork W2856523128 @default.
- W2494933002 isParatext "false" @default.
- W2494933002 isRetracted "false" @default.
- W2494933002 magId "2494933002" @default.
- W2494933002 workType "book-chapter" @default.