Gema, A.P.[Aryo Pradipta]
* 2019: Attention-based argumentation mining
Gemail, K.S.[Khaled S.]
* 2021: Multi-Scale Geophysical Methodologies Applied to Image Archaeological Ruins at Various Depths in Highly Terraneous Sites
Geman, D.
* 1984: Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields
* 1984: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
* 1987: Stochastic Model for Boundary Detection
* 1990: Boundary Detection by Constrained Optimization
* 1992: Constrained Restoration and the Recovery of Discontinuities
* 1992: Nonlinear Filter for Film Restoration and Other Problems in Image Processing, A
* 1994: Active Testing Model for Tracking Roads in Satellite Images, An
* 1995: Nonlinear image recovery with half-quadratic regularization
* 1996: Active Testing Model for Tracking Roads in Satellite Images, An
* 1997: Joint Induction of Shape Features and Tree Classifiers
* 1997: Recognizing Buildings in Aerial Images
* 1997: Shape quantization and recognition with randomized trees
* 1999: computational model for visual selection, A
* 2001: Coarse-to-Fine Face Detection
* 2002: Face detection using coarse-to-fine support vector classifiers
* 2002: Fast face detection with precise pose estimation
* 2004: Coarse-to-Fine Strategy for Multiclass Shape Detection, A
* 2004: Hierarchical object indexing and sequential learning
* 2004: Self-normalized linear tests
* 2005: Experiments in Mental Face Retrieval
* 2005: Unified Stochastic Model for Detecting and Tracking Faces, A
* 2006: Design Principle for Coarse-to-Fine Classification, A
* 2006: Trace Model for Object Detection and Tracking, The
* 2007: Interactive Search for Image Categories by Mental Matching
* 2008: Real-World Image Annotation and Retrieval: An Introduction to the Special Section
* 2009: Statistical Framework for Image Category Search from a Mental Picture, A
* 2013: Learning Multivariate Distributions by Competitive Assembly of Marginals
* 2013: Vantage Feature Frames for Fine-Grained Categorization
* 2015: Confidence Sets for Fine-Grained Categorization and Plant Species Identification
* 2023: Interpretable by Design: Learning Predictors by Composing Interpretable Queries
Includes: Geman, D. Geman, D.[Donald] Geman, D.[David]
30 for Geman, D.
Geman, S.
* 1984: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
* 1990: Boundary Detection by Constrained Optimization
* 1992: Nonlinear Filter for Film Restoration and Other Problems in Image Processing, A
* 1999: Hierarchy in Machine and Natural Vision
* 2006: Context and Hierarchy in a Probabilistic Image Model
* 2009: Generative hierarchical models for image analysis
* 2011: Context, Computation, and Optimal ROC Performance in Hierarchical Models
Includes: Geman, S. Geman, S.[Stuart]
7 for Geman, S.