Y. V. Venkatesh

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A New Framework for Reconstruction of Images from Boundaries

D. Ravi, Y. V. Venkatesh, Y. Venkatesh, 2000, SIAM J. Appl. Math..

An integrated face detection and recognition system

Y. V. Venkatesh, Lian Hock Koh, Surendra Ranganath, 1999, Proceedings 10th International Conference on Image Analysis and Processing.

Medical image reconstruction from sparse samples using Simultaneous Perturbation Stochastic Optimization

Ashraf A. Kassim, Y. V. Venkatesh, Dornoosh Zonoobi, 2010, 2010 IEEE International Conference on Image Processing.

On an optimal learning scheme for bidirectional associative memories

Y. V. Venkatesh, K. Shanmukh, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

An SIMD machine for low-level vision

Y. V. Venkatesh, K. R. Ramakrishnan, K. Banerjee, 1988, Inf. Sci..

Modelling active contours using neural networks isomorphic to boundaries

Y. V. Venkatesh, Rishikesh Narayanan, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Simulation studies on the performance of an organizational model for graph reduction

Y. V. Venkatesh, K. Ravikanth, P. S. Sastry, 1990, Future Gener. Comput. Syst..

Experiments on Three-Dimensional Wire-Frame Object Recognition

Y. V. Venkatesh, Rishikesh Narayanan, 1998, ICONIP.

Comment on “Simulation of Time Varying Differential Equations using the Analog Computer”

Y. V. Venkatesh, 1967 .

A reduction architecture for the optimal scheduling of binary trees

Y. V. Venkatesh, K. R. Ramakrishnan, K. Ravikanth, 1988, Future Gener. Comput. Syst..

A novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA

Ashraf A. Kassim, Y. V. Venkatesh, O. V. Ramana Murthy, 2009, Pattern Recognit. Lett..

Understanding gestures with systematic variations in movement dynamics

Y. V. Venkatesh, Surendra Ranganath, Sylvie C. W. Ong, 2006, Pattern Recognit..

Implementation of a Prototype Cellular Logic Array Processor

Y. V. Venkatesh, A. Mukherjee, 1985 .

Improving PMVS Algorithm for 3D Scene Reconstruction from Sparse Stereo Pairs

Bo Li, Ashraf A. Kassim, Y. V. Venkatesh, 2013, PCM.

Encoded pattern classification using constructive learning algorithms based on learning vector quantization

Y. V. Venkatesh, C. N. S. Ganesh Murthy, Y. Venkatesh, 1998, Neural Networks.

On an Optimal and Faster Construction of Linear Quadtrees from Raster-Scanned Images

Y. V. Venkatesh, V. Goel, 1991, Comput. J..

Shape recognition using an invariant pulse code and a hierarchical, competitive neural network

Y. V. Venkatesh, Rishikesh Narayanan, Rishikesh Narayanan, 2001, Pattern Recognit..

Connected Component Labelling Using Quadtrees - A Bottom-up Approach

Y. V. Venkatesh, A. Unnikrishnan, Priti Shankar, 1987, Comput. J..

Distribution of black nodes at various levels in a linear quadtree

Y. V. Venkatesh, A. Unnikrishnan, Priti Shankar, 1987, Pattern Recognit. Lett..

Colour image segmentation using the self-organizing map and adaptive resonance theory

Sim Heng Ong, Y. V. Venkatesh, K. H. Lee, 2005, Image Vis. Comput..

On bandlimited signals with minimal space/time-bandwidth product

Y. V. Venkatesh, S. Kumar Raja, G. Vidyasagar, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

On the Application of a Modified Self-Organizing Neural Network to Estimate Stereo Disparity

Y. V. Venkatesh, S. Kumar Raja, A. Jaya Kumar, 2007, IEEE Transactions on Image Processing.

Multiple contour extraction from graylevel images using an artificial neural network

Y. V. Venkatesh, S. Kumar Raja, Ramya Narasimha, 2006, IEEE Transactions on Image Processing.

An integrated automatic face detection and recognition system

Y. V. Venkatesh, Lian Hock Koh, Surendra Ranganath, 2002, Pattern Recognit..

New frequency-domain ℓ2-stability criteria for nonlinear MIMO discrete-time systems with constant and varying time delays

Y. V. Venkatesh, 2018, Int. J. Syst. Sci..

Eye gaze based reading detection

Y. V. Venkatesh, Surendra Ranganath, Foo Tun Keat, 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

Resampling Approach to Facial Expression Recognition Using 3D Meshes

Ashraf A. Kassim, Y. V. Venkatesh, O. V. Ramana Murthy, 2010, 2010 20th International Conference on Pattern Recognition.

Measurement of complex optical flow with use of an augmented generalized gradient scheme

Y. V. Venkatesh, Mandyam V. Srinivasan, Peter J. Sobey, 1994 .

Threaded Linear Hierarchical Quadtree for Computation of Geometric Properties of Binary Images

Y. V. Venkatesh, A. Unnikrishnan, Priti Shankar, 1988, IEEE Trans. Software Eng..

A computational model for the development of simple-cell receptive fields spanning the regimes before and after eye-opening

Y. V. Venkatesh, Rishikesh Narayanan, Rishikesh Narayanan, 2003, Neurocomputing.

Composite orthonormal basis for person-independent facial expression recognition

Y. V. Venkatesh, C. Xiang, W. F. Gu, 2010, 2010 IEEE International Conference on Industrial Engineering and Engineering Management.

Facial expression recognition using radial encoding of local Gabor features and classifier synthesis

Y. V. Venkatesh, Cheng Xiang, Hai Lin, 2012, Pattern Recognit..

Segmentation of color images using a two-stage self-organizing network

Sim Heng Ong, Y. V. Venkatesh, K. H. Lee, 2002, Image Vis. Comput..

On the simultaneous recognition of identity and expression from BU-3DFE datasets

Ashraf A. Kassim, Y. V. Venkatesh, Jun Yuan, 2012, Pattern Recognit. Lett..

Identification of different stages of diabetic retinopathy using retinal optical images

U. Rajendra Acharya, Y. V. Venkatesh, Choo Min Lim, 2008, Inf. Sci..

Encoding and recognition of faces based on the human visual model and DCT

Y. V. Venkatesh, D. Ramasubramanian, 2001, Pattern Recognit..

On the uncertainty inequality as applied to discrete signals

Y. V. Venkatesh, S. Kumar Raja, G. Vidyasagar, 2006, Int. J. Math. Math. Sci..

Frequency-domain L 2-stability conditions for switched linear and nonlinear SISO systems

Y. V. Venkatesh, Cheng Xiang, T. H. Lee, 2014, Int. J. Syst. Sci..

Texture Representation Using Gabor Filters

Y. V. Venkatesh, S. Kumar Raja, 2003, IC-AI.

Regular ArticleA Generalized Hermite Pyramid for Ultrasonic Image Analysis I. Kidney and Liver

Y. V. Venkatesh, 1996 .

Generalized Hermite polynomials for image reconstruction from zero crossing contours

Y. V. Venkatesh, Y. Venkatesh, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Gini Index as Sparsity Measure for Signal Reconstruction from Compressive Samples

Ashraf A. Kassim, Y. V. Venkatesh, Dornoosh Zonoobi, 2011, IEEE Journal of Selected Topics in Signal Processing.

A knowledge-based neural network for fusing edge maps of multi-sensor images

Y. V. Venkatesh, Chi Chung Ko, Li Yiyao, 2001, Inf. Fusion.

Applications of Self-Organization Networks Spatially Isomorphic to Patterns

Y. V. Venkatesh, K. Shanmukh, C. N. S. Ganesh Murthy, 1999, Inf. Sci..

On the classification of multispectral satellite images using the multilayer perceptron

Y. V. Venkatesh, S. Kumar Raja, S. Raja, 2003, Pattern Recognit..

Human Facial Expression Recognition using a 3D Morphable Model

Subramanian Ramanathan, Ashraf A. Kassim, Y. V. Venkatesh, 2006, 2006 International Conference on Image Processing.

Self-organizing neural networks based on spatial isomorphism for active contour modeling

Y. V. Venkatesh, Rishikesh Narayanan, Rishikesh Narayanan, 2000, Pattern Recognit..

Digital color reproduction on color television monitors

Y. V. Venkatesh, A. Mukherjee, 1986, Comput. Vis. Graph. Image Process..

On bandlimited signals with minimal product of effective spatial and spectral widths

Y. V. Venkatesh, S. Kumar Raja, G. Vidyasagar, 2005, Int. J. Math. Math. Sci..

A novel application of self-organizing network for facial expression recognition from radial encoded contours

Y. V. Venkatesh, Cheng Xiang, W. F. Gu, 2009, Soft Comput..

Blink detection and eye tracking for eye localization

Y. V. Venkatesh, Surendra Ranganath, Foo Tun Keat, 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

Deciphering layered meaning in gestures

Y. V. Venkatesh, Surendra Ranganath, Sylvie C. W. Ong, 2002, Object recognition supported by user interaction for service robots.

Synthesis of visual textures and perceptual asymmetry of visual texture perception

Shaohua Kevin Zhou, Y. V. Venkatesh, C. C. Ko, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Hand gesture recognition using self organizing map for Human Computer Interaction

Y. V. Venkatesh, Nagaraj N. Bhat, Ujjwal Karn, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Modeling layered meaning with gesture parameters

Y. V. Venkatesh, Surendra Ranganath, Sylvie C. W. Ong, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Deblurring Gaussian blur using a wavelet array transform

Y. V. Venkatesh, Madhu Vairy, Y. Venkatesh, 1995, Pattern Recognit..

Multisensor image fusion using influence factor modification and the ANOVA methods

Y. V. Venkatesh, Chi Chung Ko, Li Yiyao, 2000, IEEE Trans. Geosci. Remote. Sens..

Efficient classification by neural networks using encoded patterns

Y. V. Venkatesh, C.N.S. Ganesh Murthy, 1995 .

A Generalized Hermite Pyramid for Ultrasonic Image Analysis II. Gallstones

Y. V. Venkatesh, 1996 .

Shape from shading using discrete polynomials

Y. V. Venkatesh, P. K. Bora, P. Bora, 1990, ACE '90. Proceedings of [XVI Annual Convention and Exhibition of the IEEE In India].

On improving Popov's criterion for nonlinear feedback system stability

Y. V. Venkatesh, Y. Venkatesh, 2015 .