Citation Impact
Citing Papers
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
2009 Standout
Beyond SEM: General Latent Variable Modeling
2002
Applied MANOVA and Discriminant Analysis
2005 Standout
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Origins and Divergence of the Roma (Gypsies)
2001 Standout
Genetic Evidence on the Origins of Indian Caste Populations
2001
Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction
2004
Modeling the probability distribution of positional errors incurred by residential address geocoding.
2007
Variations in Nursing Practice Environments
2006 Standout
Principles of Data Mining
2007
Robust Face Recognition via Sparse Representation
2009 Standout
An EM algorithm for wavelet-based image restoration
2003
Fuzzy c-means clustering of incomplete data
2001
Reconstructing Indian population history
2009 StandoutNature
Image classification for content-based indexing
2001
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
2008 Standout
Survey of Clustering Algorithms
2005 Standout
Designing Sociable Robots
2002 Standout
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
2004 Standout
Power transmission line inspection robots: A review, trends and challenges for future research
2020 Standout
The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications
2012 Standout
PLS-SEM: Indeed a Silver Bullet
2011 Standout
An assessment of the use of partial least squares structural equation modeling in marketing research
2011 Standout
A Systematic Review on Educational Data Mining
2017 Standout
Image retrieval
2008 Standout
Gaussian Processes for Machine Learning
2005 Standout
Optimization Transfer Using Surrogate Objective Functions
2000
Wireless sensor network localization techniques
2007 Standout
Network-based wireless location: challenges faced in developing techniques for accurate wireless location information
2005 Standout
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
2009 Standout
Variational Learning for Finite Dirichlet Mixture Models and Applications
2012
The use of partial least squares path modeling in international marketing
2009 Standout
Using Categorical Variables in Discriminant Analysis
1986
lavaan: AnRPackage for Structural Equation Modeling
2012 Standout
Testing measurement invariance of composites using partial least squares
2016 Standout
Survey on speech emotion recognition: Features, classification schemes, and databases
2010 Standout
Generalized Multilevel Structural Equation Modeling
2004 Standout
A kurtosis-based dynamic approach to Gaussian mixture modeling
1999
Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances
2020 Standout
Rethinking some of the rethinking of partial least squares
2019 Standout
Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance
2013 Standout
Survey of Motion Planning Literature in the Presence of Uncertainty: Considerations for UAV Guidance
2011
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
2007 Standout
Face recognition
2003 Standout
Machine learning methods for solar radiation forecasting: A review
2017 Standout
When to use and how to report the results of PLS-SEM
2018 Standout
A statistical modeling approach to location estimation
2002
Capturing Customer Heterogeneity using a Finite Mixture PLS Approach
2002
Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class
2002
Semi-Supervised Learning
2006 Standout
The global k-means clustering algorithm
2002 Standout
On the use of deep learning for computational imaging
2019 Standout
Identification of Hammerstein–Wiener models
2012
Measuring accessibility: positive and normative implementations of various accessibility indicators
2012 Standout
Model-based clustering of high-dimensional data: A review
2012
A Singular Value Thresholding Algorithm for Matrix Completion
2010 Standout
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
2016 Standout
Signal Recovery by Proximal Forward-Backward Splitting
2005 Standout
Learning a Similarity Metric Discriminatively, with Application to Face Verification
2005 Standout
Partial least squares structural equation modeling (PLS-SEM)
2014 Standout
Works of T. Krishnan being referenced
Geographical and ethnic variability of finger ridge-counts: biplots of male and female Indian samples
1994
Efficiency of logistic-normal stochastic supervision
1990
Efficiency of discriminant analysis when initial samples are classified stochastically
1990
On Linear Combinations of Binary Item Scores
1973
The EM Algorithm and Extensions.
1998