A new weighted two-dimensional vector quantisation encoding method in bag-of-features for histopathological image classification | Zendy

Mukesh Saraswat | Zendy; Raju Pal | Zendy

Open Access

A new weighted two-dimensional vector quantisation encoding method in bag-of-features for histopathological image classification

Author(s) -

Mukesh Saraswat,

Raju Pal

Publication year - 2020

Publication title -

international journal of intelligent information and database systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 12

eISSN - 1751-5866

pISSN - 1751-5858

DOI - 10.1504/ijiids.2020.10031594

Subject(s) - codebook , artificial intelligence , pattern recognition (psychology) , computer science , bag of words model in computer vision , feature vector , encoding (memory) , feature extraction , feature (linguistics) , support vector machine , scale invariant feature transform , classifier (uml) , encode , bag of words model , computer vision , image (mathematics) , visual word , image retrieval , linguistics , philosophy , biochemistry , chemistry , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research