Prasuna Jelly, Rajni Verma, Reena Kumawat, Suman Choudhary, Lisa Chadha, Rakesh Sharma
Occurrence of urinary tract infection and preventive strategies practiced by female students at a tertiary care teaching institution
Journal of education and health promotion
past years multimodal data analysis emerged inevitable method identifying sample categories multiview data classification problem expected joint representation include supervised information sample categories similarity latent space implies similarity corresponding concepts since view different statistical properties joint representation able encapsulate underlying nonlinear data distribution given observations another important aspect coherent knowledge multiple views required learning objective multiview model efficiently captures nonlinear correlated structures across different modalities context article introduces novel architecture termed discriminative deep canonical correlation analysis d2cca classifying given observations multiple categories learning objective proposed architecture includes merits generative models identify underlying probability distribution given observations order improve discriminative ability proposed architecture supervised information incorporated learning objective proposed model also enables architecture serve feature extractor well classifier theory cca integrated objective function joint representation multiview data learned maximally correlated subspaces proposed framework consolidated corresponding convergence analysis efficacy proposed architecture studied different domains applications namely object recognition document classification multilingual categorization face recognition cancer subtype identification reference several stateoftheart methods