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ORCIDPabitra Mitra
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- affiliation: Indian Statistical Institute, India
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2020 – today
- 2022
[j56]Yagnavajjula Madhu Keerthana
, K. Sreenivasa Rao, Pabitra Mitra:
Dysarthric speech detection from telephone quality speech using epoch-based pitch perturbation features. Int. J. Speech Technol. 25(4): 967-973 (2022)- [j55]Monidipa Das, Soumya K. Ghosh, Vemuri M. Chowdary, Pabitra Mitra, Santosh Rijal:
Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements. Remote. Sens. 14(8): 1906 (2022) - [j54]Sourav Biswas, Raghav Rathi, Arpita Dutta, Pabitra Mitra, Rajib Mall:
A regression test case prioritization technique targeting 'hard to detect' faults. Int. J. Syst. Assur. Eng. Manag. 13(3): 1066-1081 (2022) - [j53]Anima Pramanik, Sankar K. Pal, Jhareswar Maiti, Pabitra Mitra:
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 171-181 (2022) - [j52]Anima Pramanik, Sankar Kumar Pal, Jhareswar Maiti, Pabitra Mitra:
Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers. IEEE Trans. Intell. Transp. Syst. 23(12): 24116-24125 (2022) - [c118]Bithika Pal, Arindam Biswas, Sudeshna Kolay, Pabitra Mitra, Biswajit Basu:
A Study on the Ramanujan Graph Property of Winning Lottery Tickets. ICML 2022: 17186-17201 - [c117]Priyanka Sinha, Ritu Patel, Pabitra Mitra, Dilys Thomas, Lipika Dey:
Mining Homophilic Groups of Users using Edge Attributed Node Embedding from Enterprise Social Networks. WWW (Companion Volume) 2022: 1139-1147 - [i24]Manashi Chakraborty, Aritri Chakraborty, Prabir Kumar Biswas, Pabitra Mitra:
Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition. CoRR abs/2202.07499 (2022) - [i23]Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra:
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel. CoRR abs/2208.01113 (2022) - 2021
- [j51]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey. IEEE Access 9: 37431-37455 (2021) - [j50]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Multilingual Audio-Visual Smartphone Dataset and Evaluation. IEEE Access 9: 153240-153257 (2021) - [j49]Sankar K. Pal, Anima Pramanik, Jhareswar Maiti, Pabitra Mitra:
Deep learning in multi-object detection and tracking: state of the art. Appl. Intell. 51(9): 6400-6429 (2021) - [j48]Anima Pramanik, Sobhan Sarkar, Jhareswar Maiti, Pabitra Mitra:
RT-GSOM: Rough tolerance growing self-organizing map. Inf. Sci. 566: 19-37 (2021) - [j47]Saikat Biswas, Pabitra Mitra, Krothapalli Sreenivasa Rao:
Relation Prediction of Co-Morbid Diseases Using Knowledge Graph Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 708-717 (2021) - [c116]Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn:
Alternating Direction Method of Multipliers for Quantization. AISTATS 2021: 208-216 - [c115]Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal, James Thomas:
NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns. SIGIR 2021: 2242-2246 - [c114]Vaibhav Lodhi, Arindam Biswas, Debashish Chakravarty, Pabitra Mitra:
A Study of Deep Learning Approaches and Loss Functions for Abundance Fractions Estimation. WHISPERS 2021: 1-5 - [i22]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey. CoRR abs/2101.09725 (2021) - [i21]Priyanka Sinha, Pabitra Mitra, Antonio Anastasio Bruto da Costa, Nikolaos Kekatos:
Explaining Outcomes of Multi-Party Dialogues using Causal Learning. CoRR abs/2105.00944 (2021) - [i20]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Multilingual Audio-Visual Smartphone Dataset And Evaluation. CoRR abs/2109.04138 (2021) - 2020
- [j46]Biswajit Biswas, Swarup Kr Ghosh, Anupam Ghosh, Chandan Chakraborty, Pabitra Mitra:
Target Object Recognition Using Multiresolution SVD and Guided Filter with Convolutional Neural Network. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2052008:1-2052008:26 (2020) - [j45]Arpita Dutta, Richa Manral, Pabitra Mitra, Rajib Mall:
Hierarchically Localizing Software Faults Using DNN. IEEE Trans. Reliab. 69(4): 1267-1292 (2020) - [c113]Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran:
ExTra: Transfer-guided Exploration. AAMAS 2020: 1987-1989 - [c112]Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty:
Antarjami: Exploring psychometric evaluation through a computer-based game. CogSci 2020 - [c111]Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas:
Prior Guided GAN Based Semantic Inpainting. CVPR 2020: 13693-13702 - [c110]Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data. ICIP 2020: 1351-1355 - [c109]Abhijit Mukherjee, Pabitra Mitra:
Joint Learning for Cyclone Track Nowcasting. MACLEAN@PKDD/ECML 2020 - [c108]Priyanka Sinha, Lipika Dey, Pabitra Mitra, Dilys Thomas:
A Hierarchical Clustering Algorithm for Characterizing Social Media Users. WWW (Companion Volume) 2020: 353-362 - [i19]Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data. CoRR abs/2002.09048 (2020) - [i18]Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty:
Antarjami: Exploring psychometric evaluation through a computer-based game. CoRR abs/2007.10089 (2020) - [i17]Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn:
Alternating Direction Method of Multipliers for Quantization. CoRR abs/2009.03482 (2020)
2010 – 2019
- 2019
- [j44]Meghabriti Pramanik, Aurobinda Routray, Pabitra Mitra:
Accurate Real-Time Estimation of Power System Transients Using Constrained Symmetric Strong Tracking Square-Root Cubature Kalman Filter. IEEE Access 7: 165692-165709 (2019) - [j43]Sobhan Sarkar, Sammangi Vinay, Rahul Raj, Jhareswar Maiti, Pabitra Mitra:
Application of optimized machine learning techniques for prediction of occupational accidents. Comput. Oper. Res. 106: 210-224 (2019) - [j42]T. Ramalingeswara Rao, Pabitra Mitra, Ravindara Bhatt, Adrijit Goswami:
The big data system, components, tools, and technologies: a survey. Knowl. Inf. Syst. 60(3): 1165-1245 (2019) - [j41]Debarghya China, Alfredo Illanes, Prabal Poudel, Michael Friebe, Pabitra Mitra, Debdoot Sheet:
Anatomical Structure Segmentation in Ultrasound Volumes Using Cross Frame Belief Propagating Iterative Random Walks. IEEE J. Biomed. Health Informatics 23(3): 1110-1118 (2019) - [c107]Saicharan Viswanath, Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India. ICCS (2) 2019: 204-218 - [c106]Meghabriti Pramanik, Aurobinda Routray, Pabitra Mitra:
Orthogonal Matching Pursuit and K-SVD for Recovery of Sparse Power System Harmonics with the Cubature Kalman Filter. IECON 2019: 2215-2220 - [c105]Kousik Biswas, Debashish Chakravarty, Pabitra Mitra, Arundhati Misra:
Estimation of Ground Deformation Using Psinsar with L-Band Alos Palsar Data: A Case Study of Kolkata, India. IGARSS 2019: 2119-2122 - [c104]Atif Hassan, Rohini Banerjee, Pabitra Mitra, Pralay Mitra:
Cluster-Based Relative Outlier Under-Sampling Technique. ICDM 2019: 229-241 - [c103]Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks. ISBI 2019: 798-801 - [c102]Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model For Fast Segmentation of Anatomical Structures in Ultrasound Volumes. ISBI 2019: 1729-1732 - [c101]Arpita Dutta, Rohit Sahay, Pabitra Mitra, Rajib Mall:
Predicate Proximity in Failure: An MLP based Fault Localization approach. TENCON 2019: 936-941 - [c100]Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images. WACV 2019: 1807-1815 - [i16]Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks. CoRR abs/1901.05880 (2019) - [i15]Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes. CoRR abs/1901.06920 (2019) - [i14]Debarghya China, Pabitra Mitra, Debdoot Sheet:
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. CoRR abs/1901.06926 (2019) - [i13]Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra:
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. CoRR abs/1904.04547 (2019) - [i12]Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra:
ExTra: Transfer-guided Exploration. CoRR abs/1906.11785 (2019) - 2018
- [j40]Anushree Basu, Anirban Dasgupta, Anirud Thyagharajan, Aurobinda Routray, Rajlakshmi Guha, Pabitra Mitra:
A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features. IEEE Trans. Affect. Comput. 9(3): 330-342 (2018) - [j39]Omprakash Chakraborty, Arup Das, Arindam Dasgupta, Pabitra Mitra, Soumya K. Ghosh, Taraknath Mazumder:
A multi-objective framework for analysis of road network vulnerability for relief facility location during flood hazards: A case study of relief location analysis in Bankura District, India. Trans. GIS 22(5): 1064-1082 (2018) - [j38]S. R. Sreeja, Rajiv Ranjan Sahay, Debasis Samanta, Pabitra Mitra:
Removal of Eye Blink Artifacts From EEG Signals Using Sparsity. IEEE J. Biomed. Health Informatics 22(5): 1362-1372 (2018) - [c99]Malay Pramanick, Ashim Gupta, Pabitra Mitra:
An LSTM-CRF Based Approach to Token-Level Metaphor Detection. Fig-Lang@NAACL-HLT 2018: 67-75 - [c98]Malay Pramanick, Pabitra Mitra:
Unsupervised Detection of Metaphorical Adjective-Noun Pairs. Fig-Lang@NAACL-HLT 2018: 76-80 - [c97]Kadambari Sai Kiran, Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra, S. Veni:
A Comparative Study of Dictionary Learning Algorithms on Speech Recognition Task. ICACCI 2018: 588-594 - [c96]Omprakash Chakraborty, V. Yeshwanth, Pabitra Mitra, Soumya K. Ghosh:
Multi-objective Based Road-Link Grading for Health-Care Access During Flood Hazard Management. ICCSA (1) 2018: 277-293 - [c95]Arindam Dasgupta, Soumya K. Ghosh, Pabitra Mitra:
A Technique for Assessing the Quality of Volunteered Geographic Information for Disaster Decision Making. ICCSA (1) 2018: 589-597 - [c94]Tharun Mohandoss, Sourav Pal, Pabitra Mitra:
Visual attention for behavioral cloning in autonomous driving. ICMV 2018: 110411E - [c93]Meghabriti Pramanik, Agnimesh Ghosh, Aurobinda Routray, Pabitra Mitra:
Harmonics Estimation of a Noisy Power System Signal Using Cubature Kalman Filter. IECON 2018: 170-175 - [c92]Kousik Biswas, Debashish Chakravarty, Pabitra Mitra, Arundhati Misra:
Spatial Correlation Based Psinsar Technique to Estimate Ground Deformation in las Vegas Region, Us. IGARSS 2018: 2251-2254 - [c91]Vaibhav Lodhi, Debashish Chakravarty, Pabitra Mitra:
A Novel Supervised Linear Spectral Unmixing Model Constrained Pso Approach for Abundance Estimation. IGARSS 2018: 2713-2716 - [c90]T. Ramalingeswara Rao, Pabitra Mitra, Adrijit Goswami:
The Taxonomy of Distributed Graph Analytics. SNAMS 2018: 315-322 - [i11]Sourav Pal, Tharun Mohandoss, Pabitra Mitra:
Visual Attention for Behavioral Cloning in Autonomous Driving. CoRR abs/1812.01802 (2018) - 2017
- [j37]Devkumar Das, Pabitra Mitra, Chandan Chakraborty, Sanjoy Chatterjee, Asok Kumar Maiti, Surajit Bose:
Computational approach for mitotic cell detection and its application in oral squamous cell carcinoma. Multidimens. Syst. Signal Process. 28(3): 1031-1050 (2017) - [j36]Anirban Ghose, Lokesh Dokara, Soumyajit Dey, Pabitra Mitra:
A Framework for OpenCL Task Scheduling on Heterogeneous Multicores. Parallel Process. Lett. 27(3-4): 1750008:1-1750008:32 (2017) - [j35]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(9): 5293-5301 (2017) - [c89]Jeenu Grover, Pabitra Mitra:
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction. ACL (Student Research Workshop) 2017: 11-16 - [c88]Jeenu Grover, Pabitra Mitra:
Sentence Alignment using Unfolding Recursive Autoencoders. BUCC@ACL 2017: 16-20 - [c87]Somosmita Mitra, Pabitra Mitra:
Intelligent Generation of Flavor Preserving Alternative Recipes for Individuals with Dietary Restrictions. CICBA (2) 2017: 531-539 - [c86]Prabir Mallick, Sudeshna Sarkar, Pabitra Mitra:
Decision recommendation system for transporters in an online freight exchange platform. COMSNETS 2017: 448-453 - [c85]Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra:
Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case. CVPR Workshops 2017: 794-800 - [c84]Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra:
Recurrent Memory Addressing for Describing Videos. CVPR Workshops 2017: 2200-2207 - [c83]Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra:
Robust representation and efficient matching of spoken word templates. ICAPR 2017: 1-6 - [c82]Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Prediction of Active and Break Spells of Indian Summer Monsoon Using Linear Discriminant Analysis. ICAPR 2017: 1-6 - [c81]Sonam Singh, Sudeshna Sarkar, Pabitra Mitra:
A deep learning based approach with adversarial regularization for Doppler weather radar ECHO prediction. IGARSS 2017: 5205-5208 - [c80]S. R. Sreeja, Joytirmoy Rabha, Debasis Samanta, Pabitra Mitra, Monalisa Sarma:
Classification of Motor Imagery Based EEG Signals Using Sparsity Approach. IHCI 2017: 47-59 - [c79]Sonam Singh, Sudeshna Sarkar, Pabitra Mitra:
Leveraging Convolutions in Recurrent Neural Networks for Doppler Weather Radar Echo Prediction. ISNN (2) 2017: 310-317 - [c78]Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra:
Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition. MIKE 2017: 221-230 - [c77]Malay Pramanick, Pabitra Mitra:
A Metaphor Detection Approach Using Cosine Similarity. PReMI 2017: 358-364 - [i10]Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra:
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network. CoRR abs/1711.06106 (2017) - 2016
- [b1]Virinchi Srinivas, Pabitra Mitra:
Link Prediction in Social Networks - Role of Power Law Distribution. Springer Briefs in Computer Science, Springer 2016, ISBN 978-3-319-28921-2, pp. 1-64 - [j34]Subhranil Koley, Anup K. Sadhu, Pabitra Mitra, Basabi Chakraborty, Chandan Chakraborty:
Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest. Appl. Soft Comput. 41: 453-465 (2016) - [j33]Souradeep Chakraborty, Pabitra Mitra:
A dense subgraph based algorithm for compact salient image region detection. Comput. Vis. Image Underst. 145: 1-14 (2016) - [j32]Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra:
Preference relations based unsupervised rank aggregation for metasearch. Expert Syst. Appl. 49: 86-98 (2016) - [c76]Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra:
Learning a Probabilistic Boolean Network model from biological pathways and time-series expression data. EMBC 2016: 1471-1475 - [c75]Debarghya China, Manas K. Nag, K. M. Mandana, Anup K. Sadhu, Pabitra Mitra, Chandan Chakraborty:
Automated in vivo delineation of lumen wall using intravascular ultrasound imaging. EMBC 2016: 4125-4128 - [c74]Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Predictor Discovery for Early-late Indian Summer Monsoon Using Stacked Autoencoder. ICCS 2016: 565-576 - [c73]Omprakash Chakraborty, Jaydeep Das, Arindam Dasgupta, Pabitra Mitra, Soumya K. Ghosh:
A Geospatial Service Oriented Framework for Disaster Risk Zone Identification. ICCSA (3) 2016: 44-56 - [c72]Debarghya China, Pabitra Mitra, Debdoot Sheet:
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. ICVGIP Workshops 2016: 393-403 - [c71]S. R. Sreeja, Vaidic Joshi, Shabnam Samima, Anushri Saha, Joytirmoy Rabha, Baljeet Singh Cheema, Debasis Samanta, Pabitra Mitra:
BCI Augmented Text Entry Mechanism for People with Special Needs. IHCI 2016: 81-93 - [c70]Moumita Saha, Pabitra Mitra:
Recurrent neural network based prediction of indian summer monsoon using global climatic predictors. IJCNN 2016: 1523-1529 - [c69]Sulagna Gope, Sudeshna Sarkar, Pabitra Mitra, Subimal Ghosh:
Early Prediction of Extreme Rainfall Events: A Deep Learning Approach. ICDM 2016: 154-167 - [c68]Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra:
Identifying and Characterizing Truck Stops from GPS Data. ICDM 2016: 168-182 - [c67]Anirban Ghose, Soumyajit Dey, Pabitra Mitra, Mainak Chaudhuri:
Divergence Aware Automated Partitioning of OpenCL Workloads. ISEC 2016: 131-135 - [c66]Suvodip Dey, Pabitra Mitra, Kratika Gupta:
Recommending Repeat Purchases using Product Segment Statistics. RecSys 2016: 357-360 - [i9]Anirban Santara, Debapriya Maji, D. P. Tejas, Pabitra Mitra, Arobinda Gupta:
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training. CoRR abs/1603.02836 (2016) - [i8]Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet:
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. CoRR abs/1603.04833 (2016) - [i7]Biswajit Paria, Anirban Santara, Pabitra Mitra:
Visualization Regularizers for Neural Network based Image Recognition. CoRR abs/1604.02646 (2016) - [i6]Sourya Roy, Pabitra Mitra:
Visual saliency detection: a Kalman filter based approach. CoRR abs/1604.04825 (2016) - [i5]Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas:
WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR abs/1605.01101 (2016) - [i4]Kumar Krishna Agrawal, Arnav Kumar Jain, Abhinav Agarwalla, Pabitra Mitra:
Recurrent Memory Addressing for describing videos. CoRR abs/1611.06492 (2016) - [i3]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. CoRR abs/1612.00144 (2016) - 2015
- [j31]Souradeep Chakraborty, Pabitra Mitra:
A site entropy rate and degree centrality based algorithm for image co-segmentation. J. Vis. Commun. Image Represent. 33: 20-30 (2015) - [j30]Tripti Swarnkar, Sérgio Nery Simões, Anji Anurak, Helena Brentani, Jyotirmoy Chatterjee, Ronaldo Fumio Hashimoto, David Correa Martins, Pabitra Mitra:
Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 33 (2015) - [c65]Arup Choudhury, Shrey Sharma, Pabitra Mitra, Cyril Sebastian, Shrikant S. Naidu, Muthusamy Chelliah:
SimCat: an entity similarity measure for heterogeneous knowledge graph with categories. CODS 2015: 112-113 - [c64]Debapriya Maji, Anirban Santara, Sambuddha Ghosh, Debdoot Sheet, Pabitra Mitra:
Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. EMBC 2015: 3029-3032 - [c63]Arindam Dasgupta, Soumya K. Ghosh, Pabitra Mitra:
A mobile volunteered geographic information management platform for rural health informatics. HealthCom 2015: 381-384 - [c62]Debarghya China, Pabitra Mitra, Chandan Chakraborty, K. M. Mandana:
Wavelet based non local means filter for despeckling of intravascular ultrasound image. ICACCI 2015: 1361-1365 - [c61]Moumita Saha, Pabitra Mitra:
Co-Clustering Based Approach for Indian Monsoon Prediction. ICCS 2015: 2938-2942 - [c60]Russel Aziz, Manav Kedia, Soham Dan, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra:
Segmenting Highway Network Based on Speed Profiles. ITSC 2015: 2927-2932 - [c59]Moumita Saha, Pabitra Mitra:
Climate Network Based Index Discovery for Prediction of Indian Monsoon. PReMI 2015: 554-564 - [c58]Priyanka Sinha, Lipika Dey, Pabitra Mitra, Anupam Basu:
Mining HEXACO personality traits from Enterprise Social Media. WASSA@EMNLP 2015: 140-147 - [i2]Souradeep Chakraborty, Pabitra Mitra:
A dense subgraph based algorithm for compact salient image region detection. CoRR abs/1511.06545 (2015) - 2014
- [j29]Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra:
Recent developments in spoken term detection: a survey. Int. J. Speech Technol. 17(2): 183-198 (2014) - [j28]