Citation Impact
Citing Papers
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*
1993
Integrated circuit design with NEM relays
2008
Visualizing Data using t-SNE
2008 StandoutNobel
Detection of elliptic and linear edges by searching two parameter spaces
1977
Tunnel field-effect transistors as energy-efficient electronic switches
2011 StandoutNature
Feature selection for splice site prediction: A new method using EDA-based feature ranking
2004
A thinning algorithm based on contours
1987
The reviewing of object files: Object-specific integration of information
1992 StandoutNobel
Unified segmentation
2005 Standout
Superior feature-set ranking for small samples using bolstered error estimation
2004
Markov Random Field Texture Models
1983
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
2005 Standout
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
1984 Standout
FreeSurfer
2012 Standout
A Comparison of Feature Selection Methods for the Detection of Breast Cancers in Mammograms: Adaptive Sequential Floating Search vs. Genetic Algorithm
2005
How machine learning can help select capping layers to suppress perovskite degradation
2020 StandoutNobel
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
1987
CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking
2009
Whole Brain Segmentation
2002 Standout
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets
1997
Performing Feature Selection With Multilayer Perceptrons
2008
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
Random Forests
2001 Standout
Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art
2002 Standout
Efficient Bipedal Robots Based on Passive-Dynamic Walkers
2005 StandoutScience
The Whale Optimization Algorithm
2016 Standout
Patterns in pattern recognition: 1968-1974
1974
Computing with Neural Circuits: A Model
1986 StandoutScienceNobel
Feature selection in proteomic pattern data with support vector machines
2005
Escaping free-energy minima
2002 Standout
Thinning methodologies-a comprehensive survey
1992 Standout
A Methodology for Feature Selection Using Multiobjective Genetic Algorithms for Handwritten Digit String Recognition
2003
Critical points on a perfectly 8- or 6-connected thin binary line
1983
Learning Automata - A Survey
1974
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
2000 Standout
Generative models for discovering sparse distributed representations
1997 StandoutNobel
An iterative growing and pruning algorithm for classification tree design
1991
Learning Boolean concepts in the presence of many irrelevant features
1994
Stochastic ranking for constrained evolutionary optimization
2000
Wrappers for feature subset selection
1997 Standout
The Method of Simulated Scores for the Estimation of LDV Models
1998 StandoutNobel
TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION
2000
Normalized cuts and image segmentation
2000 Standout
Feature selection using expected attainable discrimination
1998
Connectionist Models and Their Properties
1982
Floating search methods in feature selection
1994 Standout
Feature selection: evaluation, application, and small sample performance
1997
Penalty guided genetic search for reliability design optimization
1996
Feature selection for multiclass discrimination via mixed-integer linear programming
2003
Basics of cellular logic with some applications in medical image processing
1979
Mean shift: a robust approach toward feature space analysis
2002 Standout
Adaptive Penalty Methods for Genetic Optimization of Constrained Combinatorial Problems
1996
Statistical pattern recognition: a review
2000 Standout
Human-level concept learning through probabilistic program induction
2015 StandoutScience
Generalizing the Hough transform to detect arbitrary shapes
1981 Standout
Digital topology: Introduction and survey
1989
The random subspace method for constructing decision forests
1998 Standout
A Parallel Mechanism for Detecting Curves in Pictures
1975
Computer processing of line images: A survey
1987
Parametrisable skeletonization of binary and multi-level images
1990
Medical image analysis: progress over two decades and the challenges ahead
2000 Standout
Sampling-Based Approaches to Calculating Marginal Densities
1990 Standout
Toward integrating feature selection algorithms for classification and clustering
2005
Distinctive Image Features from Scale-Invariant Keypoints
2004 Standout
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
2002 Standout
A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models
2004
Grey Wolf Optimizer
2014 Standout
Image texture synthesis-by-analysis using moving-average models
1993
An improvement on floating search algorithms for feature subset selection
2008
Transformations for the Computer Detection of Curves in Noisy Pictures
1975
Scale-space and edge detection using anisotropic diffusion
1990 Standout
Class prediction and discovery using gene microarray andproteomics mass spectroscopy data: curses, caveats, cautions
2003
“Neural” computation of decisions in optimization problems
1985 StandoutNobel
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
1998
Computer Processing of Line-Drawing Images
1974 Standout
Inference from Iterative Simulation Using Multiple Sequences
1992 Standout
What should be expected from feature selection in small-sample settings
2006
A Model-Based Method for Rotation Invariant Texture Classification
1986
Unsupervised feature selection using feature similarity
2002
The Contributions of the Economics of Information to Twentieth Century Economics
2000 StandoutNobel
Adaptive floating search methods in feature selection
1999
Biped dynamic walking using reinforcement learning
1997
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach*
2005 StandoutNobel
Properties of transforms for the detection of curves in noisy pictures
1978
A survey on feature selection methods
2013 Standout
Economics of Information Systems
1971
Hough transform for line recognition: Complexity of evidence accumulation and cluster detection
1989
A Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs
1976
Data mining: concepts and techniques
2012 Standout
On the Hough Technique for Curve Detection
1978
Feature space transforms for curve detection
1978
A width-independent algorithm for character skeleton estimation
1987
Use of a self-adaptive penalty approach for engineering optimization problems
2000
Feature subset selection using a genetic algorithm
1998
Feature Subset Selection by Bayesian network-based optimization
2000
A review and reformulation of social information-processing mechanisms in children's social adjustment.
1994 Standout
Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach
2005 StandoutNobel
Finding scientific topics
2004 Standout
B-spline signal processing. I. Theory
1993 Standout
A review of feature selection techniques in bioinformatics
2007 Standout
Selection bias in gene extraction on the basis of microarray gene-expression data
2002
Works of Jack Sklansky being referenced
Constrained Genetic Optimization via Dynarnic Reward-Penalty Balancing and Its Use in Pattern Recognition
1989
The use of Markov Random Fields as models of texture
1980
Measuring Concavity on a Rectangular Mosaic
1972
Recent developments in information and decision processes
1963
Minimum-Perimeter Polygons of Digitized Silhouettes
1972
Automated design of multiple-class piecewise linear classifiers
1989
Learning systems for automatic control
1966
Conditional-Sum Addition Logic
1960
Tumor detection in radiographs
1973
Recognition of convex blobs
1970
Comparison of algorithms that select features for pattern classifiers
2000
Automated design of linear tree classifiers
1990
A note on genetic algorithms for large-scale feature selection
1989
Locally Trained Piecewise Linear Classifiers
1980
A Theory of Nonuniformly Digitized Binary Pictures
1976
Finding circles by an array of accumulators
1975
ON AUTOMATIC FEATURE SELECTION
1988
Feature Selection for Automatic Classification of Non-Gaussian Data
1987
A Parallel Mechanism for Describing Silhouettes
1972
Optimum feature selection by zero-one integer programming
1984
Skeleton generation fromx, y boundary sequences
1981
Finding the rib cage in chest radiographs
1977
Experiments on mapping techniques for exploratory pattern analysis
1988
Fast polygonal approximation of digitized curves
1980
Training a One-Dimensional Classifier to Minimize the Probability of Error
1972
Multiple-order derivatives for detecting local image characteristics
1987
An overview of mapping techniques for exploratory pattern analysis
1988