Vikram Jayaram

发表

A rapid location independent full tensor gravity algorithm

G. Randy Keller, Vikram Jayaram, Kevin D. Crain, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

A comparison of classification techniques for seismic facies recognition

Vikram Jayaram, Tao Zhao, Kurt J. Marfurt, 2015 .

A fully integrated 2×2 b/g and 1×2 a-band MIMO WLAN SoC in 45nm CMOS for multi-radio IC

Rakesh Kumar, Vikram Jayaram, Anil Kumar Sao, 2013, 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers.

Reduced Dimensionality Hyperspectral Classification using Finite Mixture Models

Vikram Jayaram, 2009 .

Dynamic mixing kernels in Gaussian mixture classifier for hyperspectral classification

Vikram Jayaram, Bryan Usevitch, B. Usevitch, 2008, Optical Engineering + Applications.

Active learning schemes for reduced dimensionality hyperspectral classification

Vikram Jayaram, Bryan Usevitch, B. Usevitch, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

Lithofacies classification in Barnett Shale using proximal support vector machines

Vikram Jayaram, Tao Zhao, Kurt J. Marfurt, 2014 .

Active Learning Algorithms in Seismic Facies Classification

Vikram Jayaram, Kurt J. Marfurt, Atish Roy, 2013 .

Machine Learning Regressors and their Metrics to predict Synthetic Sonic and Brittle Zones

Vikram Jayaram, Deepak Devegowda, Ishank Gupta, 2019, Proceedings of the 7th Unconventional Resources Technology Conference.

Scalable Compression and Classification of Hyperspectral imagery using JPEG 2000

Vikram Jayaram, Bryan Usevitch, Max Garces, 2013 .

Scalable Compressed Domain Classification of Hyperspectral Imagery using JPEG2000

Vikram Jayaram, Bryan Usevitch, Max Garces, 2013 .

DISCRETE WAVELET TRANSFORM EFFECT ON HYPERSPECTRAL IMAGE CLASSIFICATION PERFORMANCE USING LOSSLESS COMPRESSION ALGORITHMS WITH COLOR & QUALITY SCALABILITY UNDER JPEG2000

Vikram Jayaram, Bryan Usevitch, David Negrete, 2007 .

Active learning techniques in Hyperspectral Classifiers using Finite Mixture Models

Vikram Jayaram, Bryan Usevitch, 2013 .

Receiver Deghosting Method to Mitigate F-K Transform Artifacts: A Non-Windowing Approach

Vikram Jayaram, Charles Sicking, Chris Carter, 2015 .

TOC estimation in the Barnett Shale from triple combo logs using support vector machine

Vikram Jayaram, Tao Zhao, Sumit Verma, 2015 .

Introduction to special section: Pattern recognition and machine learning

Vikas Kumar, Tapan Mukerji, Vikram Jayaram, 2015 .

Unsupervised learning in hyperspectral classifiers using hidden Markov models

Vikram Jayaram, Bryan Usevitch, B. Usevitch, 2009, Defense + Commercial Sensing.

Looking Ahead of the Bit Using Surface Drilling and Petrophysical Data: Machine-Learning-Based Real-Time Geosteering in Volve Field

Vikram Jayaram, Ngoc Tran, Deepak Devegowda, 2020 .

Sanjay Kumar Biswas (1945-2013)

G. K. Ananthasuresh, Vikram Jayaram, Satish Kailas, 2013 .

Detection of Human Gait-phase using Finite Mixture Models

Vikram Jayaram, Bryan Usevitch, Chad MacDonald, 2013 .

Bulk, dense, nanocrystalline yttrium aluminum garnet by consolidation of amorphous powders at low temperatures and high pressures

Vikram Jayaram, V. Jayaram, A. Gandhi, 2003 .

Diffusion, defects and understanding the growth of a multicomponent interdiffusion zone between Pt-modified B2 NiAl bond coat and single crystal superalloy

Vikram Jayaram, Ankit Gupta, Tilmann Hickel, 2020 .