Index for gema

Geman, D.[Donald] Co Author Listing * Home Page.
* email: Geman, D.[Donald]: geman AT cis jhu edu
* Active Testing Model for Tracking Roads in Satellite Images, An
* Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields
* Boundary Detection by Constrained Optimization
* Coarse-to-Fine Face Detection
* Coarse-to-Fine Strategy for Multiclass Shape Detection, A
* computational model for visual selection, A
* Confidence Sets for Fine-Grained Categorization and Plant Species Identification
* Constrained Restoration and the Recovery of Discontinuities
* Design Principle for Coarse-to-Fine Classification, A
* Experiments in Mental Face Retrieval
* Face detection using coarse-to-fine support vector classifiers
* Fast face detection with precise pose estimation
* Hierarchical object indexing and sequential learning
* Interactive Search for Image Categories by Mental Matching
* Joint Induction of Shape Features and Tree Classifiers
* Learning Multivariate Distributions by Competitive Assembly of Marginals
* Nonlinear Filter for Film Restoration and Other Problems in Image Processing, A
* Nonlinear image recovery with half-quadratic regularization
* Real-World Image Annotation and Retrieval: An Introduction to the Special Section
* Recognizing Buildings in Aerial Images
* Self-normalized linear tests
* Shape quantization and recognition with randomized trees
* Statistical Framework for Image Category Search from a Mental Picture, A
* Stochastic Model for Boundary Detection
* Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
* Trace Model for Object Detection and Tracking, The
* Unified Stochastic Model for Detecting and Tracking Faces, A
* Vantage Feature Frames for Fine-Grained Categorization
Includes: Geman, D.[Donald] Geman, D. Geman, D.[David]
30 for Geman, D.

Geman, S.[Stuart] Co Author Listing * Home Page.
* email: Geman, S.[Stuart]: geman AT dam brown edu
* Boundary Detection by Constrained Optimization
* Context and Hierarchy in a Probabilistic Image Model
* Context, Computation, and Optimal ROC Performance in Hierarchical Models
* Generative hierarchical models for image analysis
* Hierarchy in Machine and Natural Vision
* Nonlinear Filter for Film Restoration and Other Problems in Image Processing, A
* Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
Includes: Geman, S.[Stuart] Geman, S.
9 for Geman, S.

Index for "g"


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