Search Results - "Guru, D. S."

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  1. 1

    Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications by Divyanth, L. G., Guru, D. S., Soni, Peeyush, Machavaram, Rajendra, Nadimi, Mohammad, Paliwal, Jitendra

    Published in Algorithms (01-11-2022)
    “…Applications of deep-learning models in machine visions for crop/weed identification have remarkably upgraded the authenticity of precise weed management…”
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  2. 2

    One-shot Cluster-Based Approach for the Detection of COVID–19 from Chest X–ray Images by Aradhya, V. N. Manjunath, Mahmud, Mufti, Guru, D. S., Agarwal, Basant, Kaiser, M. Shamim

    Published in Cognitive computation (2021)
    “…Coronavirus disease (COVID-19) has infected over more than 28.3 million people around the globe and killed 913K people worldwide as on 11 September 2020. With…”
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  3. 3

    Online Signature Verification and Recognition: An Approach Based on Symbolic Representation by Guru, D.S., Prakash, H.N.

    “…In this paper, we propose a new method of representing on-line signatures by interval valued symbolic features. Global features of on-line signatures are used…”
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  4. 4

    Nutrient dynamics and sustainability of short rotation Eucalyptus camaldulensis plantations in southern India by Mathew, Roby, Guru Murthy, D. S., Varghese, Mohan

    Published in New forests (01-09-2024)
    “…Though awareness of fertilizer application has increased over time, low nutrient use efficiency is still a major limiting factor for eucalyptus plantations in…”
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  5. 5

    The blind robust video watermarking scheme in video surveillance context by Kapre, B. S., Rajurkar, A. M., Guru, D. S.

    Published in Multimedia tools and applications (01-04-2024)
    “…Video surveillance systems are now commonly deployed in both public and private settings globally. Use of watermarking in the surveillance systems is emerging…”
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  6. 6

    An Effective and Efficient Exact Match Retrieval Scheme for Symbolic Image Database Systems Based on Spatial Reasoning: A Logarithmic Search Time Approach by Punitha, P., Guru, D.S.

    “…In this paper, a novel method of representing symbolic images in a symbolic image database (SID) invariant to image transformations that is useful for exact…”
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  7. 7

    Gender identification of Drosophila melanogaster based on morphological analysis of microscopic images by Mestetskiy, Leonid M., Guru, D. S., Benifa, J. V. Bibal, Nagendraswamy, H. S., Chola, Channabasava

    Published in The Visual computer (01-05-2023)
    “…Drosophila melanogaster ( D. melanogaster ) is an imperative genomic model organism that is employed widely in healthcare and biological research works…”
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  8. 8

    An alternative framework for univariate filter based feature selection for text categorization by Guru, D.S., Suhil, Mahamad, Raju, Lavanya Narayana, Kumar, N Vinay

    Published in Pattern recognition letters (01-02-2018)
    “…• Introduction of an alternative framework for feature selection.• Results in a subset of highly relevant features covering all classes uniformly.• Class…”
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  9. 9

    Interval valued symbolic representation of writer dependent features for online signature verification by Guru, D.S., Manjunatha, K.S., Manjunath, S., Somashekara, M.T.

    Published in Expert systems with applications (01-09-2017)
    “…•An approach for online signature verification based on writer dependent parameters.•Interval valued symbolic representation of writer dependent…”
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  10. 10

    Decade research on text detection in images/videos: a review by Manjunath Aradhya, V. N., Basavaraju, H. T., Guru, D. S.

    Published in Evolutionary intelligence (01-06-2021)
    “…Text present in an image or a video is a good representative as it provides semantic information of a respective image or video frame. Nowadays detection of…”
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  11. 11

    DCT-phase statistics for forged IMEI numbers and air ticket detection by Nandanwar, Lokesh, Shivakumara, Palaiahnakote, Kanchan, Swati, Basavaraja, V., Guru, D.S., Pal, Umapada, Lu, Tong, Blumenstein, Michael

    Published in Expert systems with applications (01-02-2021)
    “…•A new phase technique for detecting forgeries in IMEI and air tickets.•It derives phase spectrum using DCT to find suspicious regions.•We compute phase…”
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  12. 12

    Textural features in flower classification by Guru, D.S., Sharath Kumar, Y.H., Manjunath, S.

    Published in Mathematical and computer modelling (01-08-2011)
    “…In this work, we investigate the effect of texture features for the classification of flower images. A flower image is segmented by eliminating the background…”
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  13. 13

    Arbitrary oriented multilingual text detection and segmentation using level set and Gaussian mixture model by Basavaraju, H. T., Aradhya, V. N. Manjunath, Pavithra, M. S., Guru, D. S., Bhateja, Vikrant

    Published in Evolutionary intelligence (01-06-2021)
    “…A pioneer conceptual combination of level set method and Gaussian Mixture Model (GMM) is presented in the described multilingual, arbitrary-oriented character…”
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  14. 14

    Gender Identification and Classification of Drosophila melanogaster Flies Using Machine Learning Techniques by Chola, Channabasava, Benifa, J. V. Bibal, Guru, D. S., Muaad, Abdullah Y., Hanumanthappa, J., Al-antari, Mugahed A., AlSalman, Hussain, Gumaei, Abdu H.

    “…Drosophila melanogaster is an important genetic model organism used extensively in medical and biological studies. About 61% of known human genes have a…”
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  15. 15

    Symbolic representation of two-dimensional shapes by Guru, D.S., Nagendraswamy, H.S.

    Published in Pattern recognition letters (2007)
    “…In this paper, we present a method for representing a two-dimensional shape by symbolic features. A shape is represented in terms of multi-interval valued type…”
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  16. 16

    Symbolic image indexing and retrieval by spatial similarity: An approach based on B-tree by Punitha, P., Guru, D.S.

    Published in Pattern recognition (01-06-2008)
    “…In this paper, the problem of indexing symbolic images based on spatial similarity is addressed. A model based on modified triangular spatial relationship…”
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  17. 17

    Fusion of covariance matrices of PCA and FLD by Guru, D.S., Suraj, M.G., Manjunath, S.

    Published in Pattern recognition letters (01-02-2011)
    “…In this paper, we propose a novel approach for fusing two classifiers, specifically classifiers based on subspace analysis, during feature extraction. A method…”
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  18. 18

    Incremental circle transform and eigenvalue analysis for object recognition: an integrated approach by Nagabhushan, P., Guru, D.S.

    Published in Pattern recognition letters (01-10-2000)
    “…In this paper, a new method to recognize two-dimensional objects by combining the concept of incremental circle transform (ICT) and eigenvalue analysis is…”
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  19. 19

    A simple and robust line detection algorithm based on small eigenvalue analysis by Guru, D.S, Shekar, B.H, Nagabhushan, P

    Published in Pattern recognition letters (2004)
    “…In this paper, a simple and robust algorithm is proposed for detecting straight line segments in an edge image. The proposed algorithm is based on small…”
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  20. 20

    Multivalued type dissimilarity measure and concept of mutual dissimilarity value for clustering symbolic patterns by Guru, D.S., Kiranagi, Bapu B.

    Published in Pattern recognition (2005)
    “…A successful attempt in exploring a dissimilarity measure which captures the reality is made in this paper. The proposed measure unlike other measures (Pattern…”
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