Current Search:  Srivastava, Anuj (x)

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Statistical Shape Analysis Of Simplified Neuronal Trees
F-Table
Study of Image Representations for Content-Based Image Retrieval
Reducing the WCET of Applications on Low End Embedded Systems
Discontinuous Galerkin Spectral Element Approximations on Moving Meshes for Wave          Scattering from Reflective Moving Boundaries
Analysis of the Wealth Distribution at Equilibrium in a Heterogeneous Agent          Economy
Block Incremental Algorithm for Computing Dominant Singular Subspaces
Optimal Linear Representations of Images under Diverse Criteria
Constructing A Revised Version of the Face Stimulus Assessment to Measure Formal Elements
Bayesian MRF Framework for Labeling Terrain Using Hyperspectral Imaging
Robust Change Detection and Change Point Estimation for Poisson Count Processes
Single-and Multiple-Objective Stochastic Programming Models with Applications to Aerodynamics
Statistical Modelling and Applications of Neural Spike Trains
Automated Face Tracking and Recognition
Functional Data Analysis and Partial Shape Matching in the Square Root Velocity Framework
Statistical Models on Human Shapes with Application to Bayesian Image Segmentation and Gait Recognition
On the Geometry of Hurwitz Surfaces
Riemannian Shape Analysis of Curves and Surfaces
Novel Riemannian Metric for Analyzing Spherical Functions with Applications to HARDI Data
Riemannian Framework for Annotated Curves Analysis
Monte Carlo Likelihood Estimation for Conditional Autoregressive Models with Application to Sparse Spatiotemporal Data
Non-Intrusive Methods for Probablistic Uncertainty Quantification and Global Sensitivity Analysis in Nonlinea Stochastic Phenomena
2D Affine and Projective Shape Analysis, and Bayesian Elastic Active Contours
Elastic Shape Analysis of RNAs and Proteins
Shape Analysis of Curves in Higher Dimensions
Statistical Analysis of Trajectories on Riemannian Manifolds
Improving Inference in Population Genetics Using Statistics
Throughput Improvement in Multihop Ad Hoc Network Using Adaptive Carrier Sensing Range and Contention Window
Uncertainty Quantification of Nonlinear Stochastic Phenomena
Functional Component Analysis and Regression Using Elastic Methods
Parametric and Nonparametric Spherical Regression with Diffeomorphisms
Developing SRSF Shape Analysis Techniques for Applications in Neuroscience and Genomics
Riemannian Manifold Trust-Region Methods with Applications to Eigenproblems
Elastic Functional Principal Component Analysis for Modeling and Testing of Functional Data
Elastic Functional Regression Model
Statistical Shape Analysis of Neuronal Tree Structures
Sparsity-Regularized Learning for Nano-Metrology
Quasi-Monte Carlo and Markov Chain Quasi-Monte Carlo Methods in Estimation and Prediction of Time Series Models
Large-Scale Multi-Target Tracking Problem for Interacting Targets
Shape Data Analysis for Machine Learning in Power Systems Applications
Bayesian Tractography Using Geometric Shape Priors
Belief Function Theory
Design and Analysis of Response Surface Designs with Restricted Randomization
Stochastic Models and Inferences for Commodity Futures Pricing
Inferences in Shape Spaces with Applications to Image Analysis and Computer Vision
Probabilistic Uncertainty Analysis and Its Applications in Option Models
Metabolite Identification by Nuclear Magnetic Resonance Spectroscopy
Tools for Statistical Analysis on Shape Spaces of Three-Dimensional Object
Framework for Comparing Shape Distributions
Geometric Approaches for Analysis of Images, Densities and Trajectories on Manifolds

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