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Isaac J. Sledge
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2020 – today
- 2024
- [i14]Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King, Steven H. Ostertag, Denton L. Woods, James L. Prater, Jermaine L. Kennedy, Timothy M. Marston, José C. Príncipe:
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. CoRR abs/2401.11313 (2024) - 2023
- [j11]Isaac J. Sledge
, José C. Príncipe
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5156-5170 (2023) - 2022
- [j10]Isaac J. Sledge
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1137-1156 (2022) - [i13]Isaac J. Sledge, José C. Príncipe:
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. CoRR abs/2212.11083 (2022) - 2021
- [i12]Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, José C. Príncipe:
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders. CoRR abs/2101.03603 (2021) - [i11]Isaac J. Sledge, José C. Príncipe:
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. CoRR abs/2101.06848 (2021) - [i10]Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe:
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. CoRR abs/2102.12017 (2021) - [i9]Isaac J. Sledge, José C. Príncipe:
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. CoRR abs/2107.01799 (2021) - [i8]Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri, José C. Príncipe:
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery. CoRR abs/2107.10504 (2021) - [i7]Isaac J. Sledge, José C. Príncipe:
Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. CoRR abs/2109.11737 (2021) - 2020
- [j9]Isaac J. Sledge
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4990-4998 (2020) - [c13]Isaac J. Sledge, José C. Príncipe:
Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j8]Isaac J. Sledge
Reduction of Markov Chains Using a Value-of-Information-Based Approach. Entropy 21(4): 349 (2019) - [j7]Isaac John Sledge, José C. Príncipe:
Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies. IEEE Trans. Games 11(2): 142-158 (2019) - [c12]Isaac J. Sledge, José C. Príncipe:
A Differential-geometric Approach for Globally Solving a Non-convex, Discontinuous Depth Estimation Problem for Plenoptic Camera Images. ICASSP 2019: 2267-2271 - [c11]Isaac J. Sledge, José C. Príncipe:
An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains. ICASSP 2019: 3612-3616 - [i6]Isaac J. Sledge, José C. Príncipe:
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations. CoRR abs/1901.07484 (2019) - [i5]Isaac J. Sledge, José C. Príncipe:
Reduction of Markov Chains using a Value-of-Information-Based Approach. CoRR abs/1903.09266 (2019) - 2018
- [j6]Isaac J. Sledge
An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits. Entropy 20(3): 155 (2018) - [j5]Isaac J. Sledge
Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2080-2098 (2018) - [c10]Isaac J. Sledge, José C. Príncipe:
Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information. ICASSP 2018: 2416-2420 - [c9]Isaac J. Sledge, José C. Príncipe:
Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. IJCNN 2018: 1-10 - [i4]Isaac J. Sledge, Matthew S. Emigh, José C. Príncipe:
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion. CoRR abs/1802.01518 (2018) - 2017
- [c8]Isaac J. Sledge, José C. Príncipe:
Balancing exploration and exploitation in reinforcement learning using a value of information criterion. ICASSP 2017: 2816-2820 - [i3]Isaac J. Sledge, José C. Príncipe:
Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies. CoRR abs/1702.08628 (2017) - [i2]Isaac J. Sledge, José C. Príncipe:
Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits. CoRR abs/1710.02869 (2017) - [i1]Isaac J. Sledge, José C. Príncipe:
Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information. CoRR abs/1710.10381 (2017) - 2014
- [c7]Isaac J. Sledge, Liqian Peng, Kamran Mohseni:
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks. DyDESS 2014: 195-204 - 2011
- [j4]Isaac J. Sledge, James M. Keller, Wenbo Song, Curt H. Davis:
Conflation of Vector Buildings With Imagery. IEEE Geosci. Remote. Sens. Lett. 8(1): 83-87 (2011) - 2010
- [j3]Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller:
Relational Generalizations of Cluster Validity Indices. IEEE Trans. Fuzzy Syst. 18(4): 771-786 (2010) - [j2]Isaac J. Sledge, Timothy C. Havens
Relational Duals of Cluster-Validity Functions for the c -Means Family. IEEE Trans. Fuzzy Syst. 18(6): 1160-1170 (2010) - [c6]Isaac J. Sledge, James C. Bezdek, Timothy C. Havens
A relational dual of the fuzzy possibilistic c-means algorithm. FUZZ-IEEE 2010: 1-9 - [c5]Isaac J. Sledge:
A projection transform for non-Euclidean relational clustering. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j1]Isaac J. Sledge, Timothy C. Havens
Finding the number of clusters in ordered dissimilarities. Soft Comput. 13(12): 1125-1142 (2009) - [c4]Isaac J. Sledge, James M. Keller:
Mapping natural language to imagery: Placing objects intelligently. FUZZ-IEEE 2009: 518-523 - 2008
- [c3]Isaac J. Sledge, James M. Keller, Timothy C. Havens, Gregory L. Alexander, Marge Skubic:
Temporal Activity Analysis. AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems 2008: 100-108 - [c2]Isaac J. Sledge, Jacalyn M. Huband, James C. Bezdek:
(Automatic) Cluster Count Extraction from Unlabeled Data Sets. FSKD (1) 2008: 3-13 - [c1]Isaac J. Sledge, James M. Keller:
Growing neural gas for temporal clustering. ICPR 2008: 1-4
Coauthor Index
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