Standout Papers
Citation Impact
Citing Papers
Regression Shrinkage and Selection Via the Lasso
1996 Standout
Connectionist Speech Recognition: A Hybrid Approach
1993
Cooperative strategies and capacity theorems for relay networks
2005 Standout
The american rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis
1988 Standout
RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY
2007 Standout
Fast Agglomerative Clustering Using a k-Nearest Neighbor Graph
2006
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
2004 Standout
Asymptotic level density for a class of vector quantization processes
1991
Open source clustering software
2004 Standout
Evaluation of Structural and Evolutionary Contributions to Deleterious Mutation Prediction
2002 StandoutNobel
The global distribution and burden of dengue
2013 StandoutNature
Essentials of the self-organizing map
2012
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
2007 Standout
A working guide to boosted regression trees
2008 Standout
Identification of Neural Circuits by Imaging Coherent Electrical Activity with FRET-Based Dyes
1999 StandoutNobel
Image coding using wavelet transform
1992 Standout
Use of proteomic patterns in serum to identify ovarian cancer
2002 Standout
Cluster-based probability model and its application to image and texture processing
1997
Single-cell transcriptomic analysis of Alzheimer’s disease
2019 StandoutNature
Deep learning in neural networks: An overview
2014 Standout
Optimal adaptive k-means algorithm with dynamic adjustment of learning rate
1995
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior
2004 Standout
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
1999 Standout
Vector quantization in speech coding
1985
Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
1998
Subband coding of images using vector quantization
1988
Sliding block entropy coding of images
2003
The self-organizing map
1990 Standout
Locally optimal block quantizer design
1980
Structural methods in automatic speech recognition
1985
An introduction to ROC analysis
2005 Standout
The WEKA data mining software
2009 Standout
Bagging Predictors
1996 Standout
CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS
2000 Standout
Unsupervised learning by competing hidden units
2019 StandoutNobel
Linear transform for simultaneous diagonalization of covariance and perceptual metric matrix in image coding
2003
Vector Quantization
1984
Recursive partitioning for heterogeneous causal effects
2016 StandoutNobel
Data clustering
1999 Standout
Classification and Regression Trees.
1984 Standout
Neural networks for maximum likelihood clustering
1994
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
Product code vector quantizers for waveform and voice coding
1984
Rate-distortion speech coding with a minimum discrimination information distortion measure
1981
Image coding using vector quantization: a review
1988
Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
1999 Standout
Color image segmentation using competitive learning
1994
Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain
1993 Standout
Centroidal Voronoi Tessellations: Applications and Algorithms
1999 Standout
On the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, Isolated Word Recognition
1983
Vector quantization technique for nonparametric classifier design
1993
Mixture autoregressive hidden Markov models for speech signals
1985
A speaker-independent, syntax-directed, connected word recognition system based on hidden Markov models and level building
1985
Variational Mode Decomposition
2014 Standout
Constrained clustering as an optimization method
1993
Spectrum estimation and harmonic analysis
1982 Standout
Mean shift: a robust approach toward feature space analysis
2002 Standout
On the structure of vector quantizers
1982
Hierarchical Neural Networks for Image Interpretation
2003
Nonparametric multivariate density estimation: a comparative study
1994
Statistical pattern recognition: a review
2000 Standout
An efficient vector quantizer providing globally optimal solutions
1998
The random subspace method for constructing decision forests
1998 Standout
A tutorial on hidden Markov models and selected applications in speech recognition
1989 Standout
Least angle regression
2004 Standout
Recognition of Isolated Digits Using Hidden Markov Models With Continuous Mixture Densities
1985
Neural Networks: A Review from a Statistical Perspective
1994
Optimal partitioning for classification and regression trees
1991
Polynomial approximation and vector quantization: a region-based integration
1995
Image coding using vector quantization in the wavelet transform domain
2002
Vector quantization of images based upon the Kohonen self-organizing feature maps
1988
Clustering by fast search and find of density peaks
2014 StandoutScience
An efficient agglomerative clustering algorithm using a heap
1991
Definitions, methods, and applications in interpretable machine learning
2019 Standout
User cooperation diversity-part I: system description
2003 Standout
Data clustering: 50 years beyond K-means
2009 Standout
Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
2002 Standout
Data mining: concepts and techniques
2012 Standout
Quantization
1998
A Probabilistic Distance Measure for Hidden Markov Models
1985
Matching pursuits with time-frequency dictionaries
1993 Standout
Image quality assessment: from error visibility to structural similarity
2004 Standout
Discriminant Analysis and Statistical Pattern Recognition.
1993 Standout
A Pervasive Millennial-Scale Cycle in North Atlantic Holocene and Glacial Climates
1997 StandoutScience
On the use of instantaneous and transitional spectral information in speaker recognition
1988
Convergence of Vector Quantizers with Applications to Optimal Quantization
1984
Iterative shrinking method for clustering problems
2005
Gradient-based learning applied to document recognition
1998 Standout
Fast clustering algorithms for vector quantization
1996
Works of A. Buzo being referenced
Spectral Distortion Measures for Speech Compression.
1978
Distortion measures for speech processing
1980
Speech coding based upon vector quantization
1980
An Algorithm for Vector Quantizer Design
1980 Standout
Optimal quantizations of coefficient vectors in LPC speech
1978
Achievability proof of some multiuser channel coding theorems using backward decoding
1989
Source Coding and Speech Compression
1978