Aroor Dinesh Dileep

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 27

Top Topics

Sequential Patterns

Sparse Representation

Top Venues

Publications

Urvashi Goswami, H. Muralikrishna, Aroor Dinesh Dileep, Veena Thenkanidiyoor
Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification. SPECOM (2) (2023)
Sean Monteiro, Ananya Angra, Muralikrishna H, Veena Thenkanidiyoor, Aroor Dinesh Dileep
Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language. SPECOM (2) (2023)
Rayees Ahmad Dar, Aroor Dinesh Dileep
Small, narrow, and parallel recurrent neural networks for sentence representation in extractive text summarization. J. Ambient Intell. Humaniz. Comput. 13 (9) (2022)
Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor
Recognition of varying size scene images using semantic analysis of deep activation maps. Mach. Vis. Appl. 32 (2) (2021)
Shaifu Gupta, Aroor Dinesh Dileep
Relevance feedback based online learning model for resource bottleneck prediction in cloud servers. Neurocomputing 402 (2020)
Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves
Online Sparse BLSTM Models for Resource Usage Prediction in Cloud Datacentres. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Shaifu Gupta, Aroor Dinesh Dileep
Long range dependence in cloud servers: a statistical analysis based on Google workload trace. Computing 102 (4) (2020)
Dhanunjaya Varma Devalraju, Padmanabhan Rajan, Aroor Dinesh Dileep
Learning to Separate: Soundscape Classification using Foreground and Background. EUSIPCO (2020)
Prajyot Naik, Manisha Naik Gaonkar, Veena Thenkanidiyoor, Aroor Dinesh Dileep
Kernel based Matching and a Novel training approach for CNN-based QbE-STD. SPCOM (2020)
Rayees Ahmad Dar, Aroor Dinesh Dileep
Multi-Headed Self-Attention-based Hierarchical Model for Extractive Summarization. SocProS (1) (2019)
Shikha Gupta, Ahmed Karanath, Kansul Mahrifa, Aroor Dinesh Dileep, Veena Thenkanidiyoor
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. 22 (1) (2019)
Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves
A joint feature selection framework for multivariate resource usage prediction in cloud servers using stability and prediction performance. J. Supercomput. 74 (11) (2018)
Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
Sparse coding based features for speech units classification. Comput. Speech Lang. 47 (2018)
Krishan Sharma, Shikha Gupta, Aroor Dinesh Dileep, Renu Rameshan
Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework. ICASSP (2018)
Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
Class specific GMM based sparse feature for speech units classification. EUSIPCO (2017)
Neeraj Sharma, Aroor Dinesh Dileep, Veena Thenkanidiyoor
Text Classification Using Hierarchical Sparse Representation Classifiers. ICMLA (2017)
Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor
The semantic multinomial representation of images obtained using dynamic kernel based pseudo-concept SVMs. NCC (2017)
Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep
Rapid bird activity detection using probabilistic sequence kernels. EUSIPCO (2017)
Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao
Archetypal analysis based sparse convex sequence kernel for bird activity detection. EUSIPCO (2017)
Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves
Fractional Difference based Hybrid Model for Resource Prediction in Cloud Network. ICNCC (2016)
Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor
Segment-level pyramid match kernels for the classification of varying length patterns of speech using SVMs. EUSIPCO (2016)
Shikha Gupta, Veena Thenkanidiyoor, Aroor Dinesh Dileep
Segment-Level Probabilistic Sequence Kernel Based Support Vector Machines for Classification of Varying Length Patterns of Speech. ICONIP (4) (2016)
Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep
Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks. ICMLA (2016)
Pulkit Sharma, Vinayak Abrol, Abhijeet Sachdev, Aroor Dinesh Dileep
Speech emotion recognition using kernel sparse representation based classifier. EUSIPCO (2016)
Abhijeet Sachdev, Aroor Dinesh Dileep, Veena Thenkanidiyoor
Example-Specific Density Based Matching Kernel for Classification of Varying Length Patterns of Speech Using Support Vector Machines. ICONIP (1) (2015)
Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
Sparse coding based features for speech units classification. INTERSPEECH (2015)
Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar
Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. ICMLA (2015)
Krati Gupta, Vibha Gupta, Anil Kumar Sao, Arnav Bhavsar, Aroor Dinesh Dileep
Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes. I3A@ICPR (2014)
Aroor Dinesh Dileep, C. Chandra Sekhar
Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines. Speech Commun. 57 (2014)
Aroor Dinesh Dileep, Chellu Chandra Sekhar
GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 25 (8) (2014)
Aroor Dinesh Dileep, C. Chandra Sekhar
HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines. IEEE ACM Trans. Audio Speech Lang. Process. 21 (12) (2013)
Aroor Dinesh Dileep, C. Chandra Sekhar
HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines. ICASSP (2013)
Aroor Dinesh Dileep, C. Chandra Sekhar
Speaker recognition using pyramid match kernel based support vector machines. Int. J. Speech Technol. 15 (3) (2012)
T. Veena, Aroor Dinesh Dileep, Chellu Chandra Sekhar
Scene Categorization Using Large Margin Gaussian Mixture Models. IPCV (2010)
Aroor Dinesh Dileep, Chellu Chandra Sekhar
Representation and feature selection using multiple kernel learning. IJCNN (2009)
Aroor Dinesh Dileep, Chellu Chandra Sekhar
Identification of Block Ciphers using Support Vector Machines. IJCNN (2006)