Veena Thenkanidiyoor

According to our database1, Veena Thenkanidiyoor authored at least 23 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Blizzard prediction in antarctic meteorological data using deep learning techniques.
J. Intell. Fuzzy Syst., October, 2023

Detecting the modality of a medical image using visual and textual features.
Biomed. Signal Process. Control., 2023

Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language.
Proceedings of the Speech and Computer - 25th International Conference, 2023

Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification.
Proceedings of the Speech and Computer - 25th International Conference, 2023

2021
Visual Semantic-Based Representation Learning Using Deep CNNs for Scene Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Recognition of varying size scene images using semantic analysis of deep activation maps.
Mach. Vis. Appl., 2021

2020
Kernel based Matching and a Novel training approach for CNN-based QbE-STD.
Proceedings of the International Conference on Signal Processing and Communications, 2020

2019
Segment-level probabilistic sequence kernel and segment-level pyramid match kernel based extreme learning machine for classification of varying length patterns of speech.
Int. J. Speech Technol., 2019

Emotion Recognition from Varying Length Patterns of Speech using CNN-based Segment-Level Pyramid Match Kernel based SVMs.
Proceedings of the National Conference on Communications, 2019

2018
SVM Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

A Context-aware Convolutional Natural Language Generation model for Dialogue Systems.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Modified Time Flexible Kernel for Video Activity Recognition using Support Vector Machines.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Deep Spatial Pyramid Match Kernel for Scene Classification.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

CNN-Based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images.
Proceedings of the Pattern Recognition Applications and Methods, 2018

Video Activity Recognition Using Sequence Kernel Based Support Vector Machines.
Proceedings of the Pattern Recognition Applications and Methods, 2018

Deep CNN based pseudo-concept selection and modeling for generation of semantic multinomial representation of scene images.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017
Semantic Multinomial Representation for Scene Images Using CNN-Based Pseudo-concepts and Concept Neural Network.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

The semantic multinomial representation of images obtained using dynamic kernel based pseudo-concept SVMs.
Proceedings of the Twenty-third National Conference on Communications, 2017

Text Classification Using Hierarchical Sparse Representation Classifiers.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Segment-Level Probabilistic Sequence Kernel Based Support Vector Machines for Classification of Varying Length Patterns of Speech.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Segment-level pyramid match kernels for the classification of varying length patterns of speech using SVMs.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Example-Specific Density Based Matching Kernel for Classification of Varying Length Patterns of Speech Using Support Vector Machines.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015


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