Matches in SemOpenAlex for { <https://semopenalex.org/work/W2789751100> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2789751100 abstract "The pattern recognition techniques involve feature extraction from the data, dimensionality reduction (like PCA, LDA, K-LDA, etc) and constructing a classifier (NN, NM, SVM, etc.) using the training set and validating the constructed classifier using the testing set. The usage of digital signal processing (DSP) techniques in pattern recognition is always limited to the feature extraction stage such as collecting the Fourier, wavelet co-efficients, HMM, GMM, etc. In this paper we explore the usage of classical DSP techniques like convolution, FIR filter to construct the classifier and compare it with the state of the art techniques. The proposed technique paves the alternative way to construct a classifier that is helpful for Big data analysis." @default.
- W2789751100 created "2018-03-29" @default.
- W2789751100 creator A5041024203 @default.
- W2789751100 creator A5052614126 @default.
- W2789751100 date "2017-03-01" @default.
- W2789751100 modified "2023-09-28" @default.
- W2789751100 title "Constructing a linear discrete system in Kernel space as a supervised classifier" @default.
- W2789751100 cites W1551884393 @default.
- W2789751100 cites W2087827091 @default.
- W2789751100 cites W2092444199 @default.
- W2789751100 cites W2110964195 @default.
- W2789751100 cites W2116360511 @default.
- W2789751100 cites W2150102617 @default.
- W2789751100 cites W2272053632 @default.
- W2789751100 cites W2327679490 @default.
- W2789751100 cites W2558048010 @default.
- W2789751100 cites W3120740533 @default.
- W2789751100 cites W769607287 @default.
- W2789751100 cites W2116634351 @default.
- W2789751100 doi "https://doi.org/10.1109/wispnet.2017.8299952" @default.
- W2789751100 hasPublicationYear "2017" @default.
- W2789751100 type Work @default.
- W2789751100 sameAs 2789751100 @default.
- W2789751100 citedByCount "1" @default.
- W2789751100 countsByYear W27897511002018 @default.
- W2789751100 crossrefType "proceedings-article" @default.
- W2789751100 hasAuthorship W2789751100A5041024203 @default.
- W2789751100 hasAuthorship W2789751100A5052614126 @default.
- W2789751100 hasConcept C114614502 @default.
- W2789751100 hasConcept C12267149 @default.
- W2789751100 hasConcept C139532973 @default.
- W2789751100 hasConcept C153180895 @default.
- W2789751100 hasConcept C154945302 @default.
- W2789751100 hasConcept C173102733 @default.
- W2789751100 hasConcept C33923547 @default.
- W2789751100 hasConcept C41008148 @default.
- W2789751100 hasConcept C52620605 @default.
- W2789751100 hasConcept C52622490 @default.
- W2789751100 hasConcept C69738355 @default.
- W2789751100 hasConcept C70518039 @default.
- W2789751100 hasConcept C74193536 @default.
- W2789751100 hasConcept C83665646 @default.
- W2789751100 hasConcept C95623464 @default.
- W2789751100 hasConceptScore W2789751100C114614502 @default.
- W2789751100 hasConceptScore W2789751100C12267149 @default.
- W2789751100 hasConceptScore W2789751100C139532973 @default.
- W2789751100 hasConceptScore W2789751100C153180895 @default.
- W2789751100 hasConceptScore W2789751100C154945302 @default.
- W2789751100 hasConceptScore W2789751100C173102733 @default.
- W2789751100 hasConceptScore W2789751100C33923547 @default.
- W2789751100 hasConceptScore W2789751100C41008148 @default.
- W2789751100 hasConceptScore W2789751100C52620605 @default.
- W2789751100 hasConceptScore W2789751100C52622490 @default.
- W2789751100 hasConceptScore W2789751100C69738355 @default.
- W2789751100 hasConceptScore W2789751100C70518039 @default.
- W2789751100 hasConceptScore W2789751100C74193536 @default.
- W2789751100 hasConceptScore W2789751100C83665646 @default.
- W2789751100 hasConceptScore W2789751100C95623464 @default.
- W2789751100 hasLocation W27897511001 @default.
- W2789751100 hasOpenAccess W2789751100 @default.
- W2789751100 hasPrimaryLocation W27897511001 @default.
- W2789751100 hasRelatedWork W169282377 @default.
- W2789751100 hasRelatedWork W1965300407 @default.
- W2789751100 hasRelatedWork W1976652320 @default.
- W2789751100 hasRelatedWork W2096838110 @default.
- W2789751100 hasRelatedWork W2116828738 @default.
- W2789751100 hasRelatedWork W2122094817 @default.
- W2789751100 hasRelatedWork W2142674421 @default.
- W2789751100 hasRelatedWork W2147807981 @default.
- W2789751100 hasRelatedWork W2154697799 @default.
- W2789751100 hasRelatedWork W2384893420 @default.
- W2789751100 hasRelatedWork W2604205261 @default.
- W2789751100 hasRelatedWork W2611674092 @default.
- W2789751100 hasRelatedWork W2624748511 @default.
- W2789751100 hasRelatedWork W2802319772 @default.
- W2789751100 hasRelatedWork W2888068624 @default.
- W2789751100 hasRelatedWork W2920922306 @default.
- W2789751100 hasRelatedWork W2932282553 @default.
- W2789751100 hasRelatedWork W2971100993 @default.
- W2789751100 hasRelatedWork W3091786012 @default.
- W2789751100 hasRelatedWork W3153553478 @default.
- W2789751100 isParatext "false" @default.
- W2789751100 isRetracted "false" @default.
- W2789751100 magId "2789751100" @default.
- W2789751100 workType "article" @default.