Porwal, A.
* 2019: Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images
* 2020: CNN-Based Super-Resolution of Hyperspectral Images
* 2020: Optimized Lithological Mapping from Multispectral and Hyperspectral Remote Sensing Images Using Fused Multi-Classifiers
* 2022: Deep-learning-based latent space encoding for spectral unmixing of geological materials
* 2023: Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock Samples
Includes: Porwal, A. Porwal, A.[Alok]
Porwal, J.
* 2013: 3D-4D color space transform for efficient lossless image compression, A
Porwal, P.[Pradyot]
* 2011: Modeling of PSF for refractive index variation in fluorescence microscopy
Porwal, S.[Sudhir]
* 2006: Integrated Approach for Downscaling MPEG Video, An
Porwal, U.[Utkarsh]
* 2012: Handwritten Arabic text recognition using Deep Belief Networks
* 2012: Modeling Writing Styles for Online Writer Identification: A Hierarchical Bayesian Approach
* 2012: Structural Learning for Writer Identification in Offline Handwriting
* 2013: Semi-supervised framework for writer identification using structural learning
Includes: Porwal, U.[Utkarsh] Porwal, U.
Porway, J.[Jake]
* 2007: Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples, An
* 2007: Object Category Recognition Using Generative Template Boosting
* 2008: hierarchical and contextual model for aerial image understanding, A
* 2009: stochastic graph grammar for compositional object representation and recognition, A
* 2010: Hierarchical and Contextual Model for Aerial Image Parsing, A
* 2011: C^4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling
Porwik, P.
* 2015: Segmentation of vehicle detector data for improved k-nearest neighbours-based traffic flow prediction
* 2016: Signatures verification based on PNN classifier optimised by PSO algorithm
* 2018: Personal identification utilizing lip print furrow based patterns. A new approach
Includes: Porwik, P. Porwik, P.[Piotr]