Standout Papers
- Optimal decoding of linear codes for minimizing symbol error rate (1974)
- Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) (1974)
Citation Impact
Citing Papers
Single Reconstituted Neuronal SNARE Complexes Zipper in Three Distinct Stages
2012 StandoutScienceNobel
A maximum entropy approach to natural language processing
1996
Bridging Viterbi and posterior decoding: a generalized risk approach to hidden path inference based on hidden Markov models
2014
Connectionist Speech Recognition: A Hybrid Approach
1993
Learning classification trees
1992
An application of recurrent nets to phone probability estimation
1994
The backtracking survey propagation algorithm for solving random K-SAT problems
2016 StandoutNobel
Predicting transmembrane protein topology with a hidden markov model: application to complete genomes11Edited by F. Cohen
2001 Standout
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
Integrating single-cell transcriptomic data across different conditions, technologies, and species
2018 Standout
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Naturally Occurring Nucleosome Positioning Signals in Human Exons and Introns
1996 StandoutNobel
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins 1 1Edited by J. Thornton
2000 StandoutNobel
Inference of Population Structure Using Multilocus Genotype Data
2000 Standout
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
Profile hidden Markov models.
1998 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior
2004 Standout
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2021 Standout
A time-delay neural network architecture for isolated word recognition
1990 StandoutNobel
Alpha-nets: A recurrent ‘neural’ network architecture with a hidden Markov model interpretation
1990
Structural methods in automatic speech recognition
1985
Bagging Predictors
1996 Standout
Developments and directions in speech recognition and understanding, Part 1 [DSP Education]
2009
Analytic and Algorithmic Solution of Random Satisfiability Problems
2002 StandoutScienceNobel
Clustering by Passing Messages Between Data Points
2007 StandoutScience
Linear prediction: A tutorial review
1975 Standout
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
Maximum entropy modeling of species geographic distributions
2005 Standout
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017 Standout
A review of large-vocabulary continuous-speech
1996
On the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, Isolated Word Recognition
1983
Transforming neural computations and representing time
1996 StandoutNobel
A speaker-independent, syntax-directed, connected word recognition system based on hidden Markov models and level building
1985
An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition
1983
Quantum Cryptography and Secret-Key Distillation
2006
Continuous speech recognition by statistical methods
1976
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
2002 Standout
Short binary convolutional codes with maximal free distance for rates 2/3 and 3/4 (Corresp.)
1974
Human-level concept learning through probabilistic program induction
2015 StandoutScience
Connectionist learning procedures
1989 StandoutNobel
Channel coding with multilevel/phase signals
1982 Standout
A tutorial on hidden Markov models and selected applications in speech recognition
1989 Standout
Recognition of Isolated Digits Using Hidden Markov Models With Continuous Mixture Densities
1985
Factor graphs and the sum-product algorithm
2001 Standout
Magnetic and optical properties of Fe/sub 3/O/sub 4/ nanoparticle ferrofluids prepared by coprecipitation technique
2001
Gaussian quantum information
2012 Standout
Recent Advances in the Liquid-Phase Syntheses of Inorganic Nanoparticles
2004 Standout
Learning algorithms and probability distributions in feed-forward and feed-back networks
1987 StandoutNobel
Links between Markov models and multilayer perceptrons
1990
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
1998
Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies
2003 Standout
Maximum likelihood estimation for multivariate observations of Markov sources
1982
Some Properties of Continuous Hidden Markov Model Representations
1985
The viterbi algorithm
1973 Standout
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
Good error-correcting codes based on very sparse matrices
1999 Standout
Long Short-Term Memory
1997 Standout
Near optimum error correcting coding and decoding: turbo-codes
1996 Standout
Continuously variable duration hidden Markov models for automatic speech recognition
1986
Data mining: concepts and techniques
2012 Standout
Image Super-Resolution Using Deep Convolutional Networks
2015 Standout
Convergence behavior of iteratively decoded parallel concatenated codes
2001 Standout
Learning symmetry groups with hidden units: Beyond the perceptron
1986 StandoutNobel
A Seismic-Event Spotting System for Volcano Fast-Response Systems
2012
Modulation and coding for linear Gaussian channels
1998
Gradient-based learning applied to document recognition
1998 Standout
Works of L.R. Bahl being referenced
Optimal decoding of linear codes for minimizing symbol error rate
1974 Standout
A Maximum Likelihood Approach to Continuous Speech Recognition
1983
Speech recognition with continuous-parameter hidden Markov models
1987
Design of a linguistic statistical decoder for the recognition of continuous speech
1975
Decoding for channels with insertions, deletions, and substitutions with applications to speech recognition
1975
A tree-based statistical language model for natural language speech recognition
1989
Estimating hidden Markov model parameters so as to maximize speech recognition accuracy
1993
A fast admissible method for identifying a short list of candidate words
1992
An efficient algorithm for computing free distance (Corresp.)
1972
Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)
1974 Standout
Image Data Compression by Predictive Coding I: Prediction Algorithms
1974