Matches in SemOpenAlex for { <https://semopenalex.org/work/W2053448148> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2053448148 endingPage "2074" @default.
- W2053448148 startingPage "2068" @default.
- W2053448148 abstract "Object classification is a highly important area of computer vision and has many applications including robotics, searching images, face recognition, aiding visually impaired people, censoring images and many more. A new common method of classification that uses features is the Bag of Words approach. In this method a codebook of visual words is created using various clustering methods. For increasing the performance Multiple Dictionaries BoW (MDBoW) method that uses more visual words from different independent dictionaries instead of adding more words to the same dictionary was implemented using hard clustering method. Nearest-neighbor assignments are used in hard clustering of features. A given feature may be nearly the same distance from two cluster centers. For a typical hard clustering method, only the slightly nearer neighbor is selected to represent that feature. Thus, the ambiguous features are not well-represented by the visual vocabulary. To address this problem, soft clustering model based Multiple Dictionary Bag of Visual words for image classification is implemented with dictionary generated using modified Fuzzy C-means algorithm using R1 norm. A performance evaluation on images has been done by varying the dictionary size. The proposed method works better when the number of topics and the number of images per topics are more. The results obtained indicate that multiple dictionary bag of words model using fuzzy clustering increases the recognition performance than the baseline method." @default.
- W2053448148 created "2016-06-24" @default.
- W2053448148 creator A5021996991 @default.
- W2053448148 creator A5032381265 @default.
- W2053448148 date "2012-12-01" @default.
- W2053448148 modified "2023-10-18" @default.
- W2053448148 title "SOFT CLUSTERING BASED EXPOSITION TO MULTIPLE DICTIONARY BAG OF WORDS" @default.
- W2053448148 cites W1677409904 @default.
- W2053448148 cites W1982952634 @default.
- W2053448148 cites W2039041464 @default.
- W2053448148 cites W2053090063 @default.
- W2053448148 cites W2087259979 @default.
- W2053448148 cites W2098789800 @default.
- W2053448148 cites W2111308925 @default.
- W2053448148 cites W2151103935 @default.
- W2053448148 cites W2161969291 @default.
- W2053448148 cites W2162915993 @default.
- W2053448148 cites W2396233316 @default.
- W2053448148 cites W3097096317 @default.
- W2053448148 doi "https://doi.org/10.3844/jcssp.2012.2068.2074" @default.
- W2053448148 hasPublicationYear "2012" @default.
- W2053448148 type Work @default.
- W2053448148 sameAs 2053448148 @default.
- W2053448148 citedByCount "1" @default.
- W2053448148 countsByYear W20534481482014 @default.
- W2053448148 crossrefType "journal-article" @default.
- W2053448148 hasAuthorship W2053448148A5021996991 @default.
- W2053448148 hasAuthorship W2053448148A5032381265 @default.
- W2053448148 hasBestOaLocation W20534481481 @default.
- W2053448148 hasConcept C115961682 @default.
- W2053448148 hasConcept C127759330 @default.
- W2053448148 hasConcept C13672336 @default.
- W2053448148 hasConcept C138885662 @default.
- W2053448148 hasConcept C153180895 @default.
- W2053448148 hasConcept C154945302 @default.
- W2053448148 hasConcept C1667742 @default.
- W2053448148 hasConcept C167611913 @default.
- W2053448148 hasConcept C17212007 @default.
- W2053448148 hasConcept C189391414 @default.
- W2053448148 hasConcept C2776401178 @default.
- W2053448148 hasConcept C41008148 @default.
- W2053448148 hasConcept C41895202 @default.
- W2053448148 hasConcept C73555534 @default.
- W2053448148 hasConceptScore W2053448148C115961682 @default.
- W2053448148 hasConceptScore W2053448148C127759330 @default.
- W2053448148 hasConceptScore W2053448148C13672336 @default.
- W2053448148 hasConceptScore W2053448148C138885662 @default.
- W2053448148 hasConceptScore W2053448148C153180895 @default.
- W2053448148 hasConceptScore W2053448148C154945302 @default.
- W2053448148 hasConceptScore W2053448148C1667742 @default.
- W2053448148 hasConceptScore W2053448148C167611913 @default.
- W2053448148 hasConceptScore W2053448148C17212007 @default.
- W2053448148 hasConceptScore W2053448148C189391414 @default.
- W2053448148 hasConceptScore W2053448148C2776401178 @default.
- W2053448148 hasConceptScore W2053448148C41008148 @default.
- W2053448148 hasConceptScore W2053448148C41895202 @default.
- W2053448148 hasConceptScore W2053448148C73555534 @default.
- W2053448148 hasIssue "12" @default.
- W2053448148 hasLocation W20534481481 @default.
- W2053448148 hasOpenAccess W2053448148 @default.
- W2053448148 hasPrimaryLocation W20534481481 @default.
- W2053448148 hasRelatedWork W1789705271 @default.
- W2053448148 hasRelatedWork W2003020068 @default.
- W2053448148 hasRelatedWork W2080679404 @default.
- W2053448148 hasRelatedWork W2110057934 @default.
- W2053448148 hasRelatedWork W2392271692 @default.
- W2053448148 hasRelatedWork W2625748453 @default.
- W2053448148 hasRelatedWork W2729514902 @default.
- W2053448148 hasRelatedWork W2769450573 @default.
- W2053448148 hasRelatedWork W3190424778 @default.
- W2053448148 hasRelatedWork W4249414091 @default.
- W2053448148 hasVolume "8" @default.
- W2053448148 isParatext "false" @default.
- W2053448148 isRetracted "false" @default.
- W2053448148 magId "2053448148" @default.
- W2053448148 workType "article" @default.