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ORCIDNeerja Mittal Garg
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- affiliation: Central Scientific Instruments Organisation, Chandigarh, India
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2020 – today
- 2023
[c4]Nitin Tyagi
, Balasubramanian Raman, Neerja Mittal Garg:
Classification of Hard and Soft Wheat Species Using Hyperspectral Imaging and Machine Learning Models. ICONIP (14) 2023: 565-576- 2022
- [c3]Nitin Tyagi, Balasubramanian Raman, Neerja Mittal Garg:
Varietal Classification of Wheat Seeds Using Hyperspectral Imaging Technique and Machine Learning Models. CVIP (2) 2022: 253-266 - [c2]Tarandeep Singh, Apurva Sharma, Neerja Mittal Garg, S. R. S. Iyengar:
Near-Infrared Hyperspectral Imaging in Tandem with Machine Learning Techniques to Identify the Near Geographical Origins of Barley Seeds. CVMI 2022: 669-678 - 2021
- [c1]Tarandeep Singh, Neerja Mittal Garg, S. R. S. Iyengar:
Identification of Harvesting Year of Barley Seeds Using Near-Infrared Hyperspectral Imaging Combined with Convolutional Neural Network. PAKDD (Workshops) 2021: 3-8 - 2020
- [j6]Nitin Kumar, Harish Kumar Sardana, S. N. Shome, Neerja Mittal:
Saliency Subtraction Inspired Automated Event Detection in Underwater Environments. Cogn. Comput. 12(1): 115-127 (2020)
2010 – 2019
- 2019
- [j5]Srikanth Vasamsetti, Neerja Mittal, Bala Chakravarthy Neelapu, Harish Kumar Sardana:
3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes. Cogn. Comput. 11(1): 18-30 (2019) - 2018
- [j4]Srikanth Vasamsetti, Supriya Setia, Neerja Mittal, Harish Kumar Sardana, Geetanjali Babbar:
Automatic underwater moving object detection using multi-feature integration framework in complex backgrounds. IET Comput. Vis. 12(6): 770-778 (2018) - 2014
- [j3]Chandan Singh, Neerja Mittal, Ekta Walia:
Complementary feature sets for optimal face recognition. EURASIP J. Image Video Process. 2014: 35 (2014) - 2012
- [j2]Chandan Singh, Ekta Walia, Neerja Mittal:
Discriminative Zernike and Pseudo Zernike Moments for Face Recognition. Int. J. Comput. Vis. Image Process. 2(2): 12-35 (2012) - [j1]Chandan Singh, Ekta Walia, Neerja Mittal:
Robust two-stage face recognition approach using global and local features. Vis. Comput. 28(11): 1085-1098 (2012)
Coauthor Index
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