S. Kumar Raja

Publication Activity (10 Years)

Years Active: 2002-2017
Publications (10 Years): 3

Top Topics

Learning Algorithm

Top Venues

Publications

Uttam Kumar, Sangram Ganguly, Ramakrishna R. Nemani, S. Kumar Raja, Cristina Milesi, Ruchita Sinha, Andrew R. Michaelis, Petr Votava, Hirofumi Hashimoto, Shuang Li, Weile Wang, Subodh Kalia, Shreekant Gayaka
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote. Sens. 9 (11) (2017)
Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani
Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data. IRI (2015)
Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani
Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study. IRI (2015)
Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra
A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels. Inf. 3 (3) (2012)
Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra
Hybrid Bayesian Classifier for Improved Classification Accuracy. IEEE Geosci. Remote. Sens. Lett. 8 (3) (2011)
Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, K. R. Ramakrishnan
Fragmented Particles-Based Robust Object Tracking with Feature Fusion. Int. J. Image Graph. 10 (1) (2010)
Y. V. Venkatesh, S. Kumar Raja, A. Jaya Kumar
On the Application of a Modified Self-Organizing Neural Network to Estimate Stereo Disparity. IEEE Trans. Image Process. 16 (11) (2007)
Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, Kalpathi R. Ramakrishnan
Feature Fusion for Robust Object Tracking Using Fragmented Particles. ICDSC (2007)
Y. V. Venkatesh, S. Kumar Raja, Ramya Narasimha
Multiple contour extraction from graylevel images using an artificial neural network. IEEE Trans. Image Process. 15 (4) (2006)
Y. V. Venkatesh, S. Kumar Raja, G. Vidyasagar
On the uncertainty inequality as applied to discrete signals. Int. J. Math. Math. Sci. 2006 (2006)
Y. V. Venkatesh, S. Kumar Raja, G. Vidyasagar
On bandlimited signals with minimal product of effective spatial and spectral widths. Int. J. Math. Math. Sci. 2005 (10) (2005)
Y. V. Venkatesh, S. Kumar Raja, G. Vidyasagar
On bandlimited signals with minimal space/time-bandwidth product. ICME (2004)
S. Kumar Raja, Y. V. Venkatesh
Texture Representation Using Gabor Filters. IC-AI (2003)
Y. V. Venkatesh, S. Kumar Raja
On the classification of multispectral satellite images using the multilayer perceptron. Pattern Recognit. 36 (9) (2003)
A. G. Ramakrishnan, S. Kumar Raja, H. V. Raghu Ram
Neural network-based segmentation of textures using Gabor features. NNSP (2002)
Thilak R. Kumar, S. Kumar Raja, A. G. Ramakrishnan
Eye detection using color cues and projection functions. ICIP (3) (2002)