Index for tasd

Tasdemir, E.F.B.[Esma F. Bilgin] Co Author Listing * comparative study of delayed stroke handling approaches in online handwriting, A

Tasdemir, K.[Kadim] Co Author Listing * Approximate spectral clustering with utilized similarity information using geodesic based hybrid distance measures
* Automatic Detection and Segmentation of Orchards Using Very High Resolution Imagery
* Content-based video copy detection based on motion vectors estimated using a lower frame rate
* Energy efficient cosine similarity measures according to a convex cost function
* Geodesic Based Similarities for Approximate Spectral Clustering
* Identification of hazelnut fields using spectral and Gabor textural features
* Motion Vector Based Features for Content Based Video Copy Detection
* Sampling based approximate spectral clustering ensemble for partitioning datasets
* Spatio-Temporal Rich Model-Based Video Steganalysis on Cross Sections of Motion Vector Planes
* Vector quantization based approximate spectral clustering of large datasets
Includes: Tasdemir, K.[Kadim] Tasdemir, K. Tasdemir, K.[Kasim]
10 for Tasdemir, K.

Tasdizen, O.[Ozgur] Co Author Listing * Efficient H.264 Intra Frame Coder System, An
* Recursive Dynamically Variable Step Search Motion Estimation Algorithm for High Definition Video

Tasdizen, T.[Tolga] Co Author Listing * Algebraic Curves that Work Better
* Anisotropic Curvature Motion for Structure Enhancing Smoothing of 3D MR Angiography Data
* Anisotropic diffusion of surface normals for feature preserving surface reconstruction
* Boundary Estimation from Intensity/Color Images with Algebraic Curve Models
* Cell tracking using particle filters with implicit convex shape model in 4D confocal microscopy images
* Color quantization with genetic algorithms
* Cramer-Rao bounds for nonparametric surface reconstruction from range data
* Dendritic Spine Shape Analysis: A Clustering Perspective
* Detection of Salient Image Points Using Principal Subspace Manifold Structure
* Dimensionality reduction and principal surfaces via Kernel Map Manifolds
* Disjunctive normal level set: An efficient parametric implicit method
* Disjunctive Normal Parametric Level Set With Application to Image Segmentation
* Disjunctive normal random forests
* Higher-Order Nonlinear Priors for Surface Reconstruction
* Image Parsing with a Three-State Series Neural Network Classifier
* Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation
* Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models
* Image Segmentation Using Hierarchical Merge Tree
* Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks
* Improving the Stability of Algebraic Curves for Applications
* Improving Undersampled MRI Reconstruction Using Non-local Means
* MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors
* Multi-Class Multi-Scale Series Contextual Model for Image Segmentation
* Mutual exclusivity loss for semi-supervised deep learning
* Nonlinear Regression with Logistic Product Basis Networks
* Nonparametric Joint Shape and Feature Priors for Image Segmentation
* PIMs and Invariant Parts for Shape Recognition
* Principal components for non-local means image denoising
* Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising
* Semantic Image Segmentation with Contextual Hierarchical Models
* SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation
* Three-dimensional alignment and merging of confocal microscopy stacks
* Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
* Using Sequential Context for Image Analysis
* Watershed merge forest classification for electron microscopy image stack segmentation
* Watershed merge tree classification for electron microscopy image segmentation
Includes: Tasdizen, T.[Tolga] Tasdizen, T.
36 for Tasdizen, T.

Tasdoken, S. Co Author Listing * Quadtree-Based Multiregion Multiquality Image Coding

Index for "t"


Last update:20-Aug-19 21:07:54
Use price@usc.edu for comments.