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Tony R. Martinez
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Publications
- 2024
- [c59]Fanqing Lin, Tony R. Martinez:
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation. WACV 2024: 4363-4371 - 2022
- [c58]Fanqing Lin, Brian Price, Tony R. Martinez:
Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks. CVPR 2022: 763-772 - [i20]Fanqing Lin, Tony R. Martinez:
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation. CoRR abs/2206.04927 (2022) - 2021
- [c57]Fanqing Lin, Connor Wilhelm, Tony R. Martinez:
Two-hand Global 3D Pose Estimation using Monocular RGB. WACV 2021: 2372-2380 - [i19]Fanqing Lin, Brian Price, Tony R. Martinez:
Generalizing Interactive Backpropagating Refinement for Dense Prediction. CoRR abs/2112.10969 (2021) - 2020
- [j44]Fanqing Lin, Yao Chou, Tony R. Martinez:
Flow Adaptive Video Object Segmentation. Image Vis. Comput. 94: 103864 (2020) - [j43]Chris Tensmeyer, Tony R. Martinez:
Historical Document Image Binarization: A Review. SN Comput. Sci. 1(3): 173 (2020) - [c56]Mike Brodie, Brian Rasmussen, Chris Tensmeyer, Scott Corbitt, Tony R. Martinez:
CoachGAN. WACV 2020: 3472-3481 - [i18]Fanqing Lin, Connor Wilhelm, Tony R. Martinez:
Two-hand Global 3D Pose Estimation Using Monocular RGB. CoRR abs/2006.01320 (2020) - [i17]Fanqing Lin, Tony R. Martinez:
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection. CoRR abs/2011.07252 (2020) - 2019
- [j42]Chris Tensmeyer, Tony R. Martinez:
CONFIRM - Clustering of noisy form images using robust matching. Pattern Recognit. 87: 1-16 (2019) - [c55]Christopher Tensmeyer, Tony R. Martinez:
Robust Keypoint Detection. WML@ICDAR 2019: 1-7 - [c54]Chris Tensmeyer, Vlad I. Morariu, Brian L. Price, Scott Cohen, Tony R. Martinez:
Deep Splitting and Merging for Table Structure Decomposition. ICDAR 2019: 114-121 - [c53]Chris Tensmeyer, Mike Brodie, Daniel Saunders, Tony R. Martinez:
Generating Realistic Binarization Data with Generative Adversarial Networks. ICDAR 2019: 172-177 - 2018
- [j41]Michael R. Smith, Tony R. Martinez:
The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks. Artif. Intell. Rev. 49(1): 105-130 (2018) - [c52]Christopher Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony R. Martinez, William Barrett:
Language Model Supervision for Handwriting Recognition Model Adaptation. ICFHR 2018: 133-138 - [c51]Mike Brodie, Chris Tensmeyer, Wes Ackerman, Tony R. Martinez:
Alpha Model Domination in Multiple Choice Learning. ICMLA 2018: 879-884 - [i16]Chris Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony R. Martinez, William Barrett:
Language Model Supervision for Handwriting Recognition Model Adaptation. CoRR abs/1808.01423 (2018) - 2017
- [c50]Chris Tensmeyer, Tony R. Martinez:
Document Image Binarization with Fully Convolutional Neural Networks. ICDAR 2017: 99-104 - [c49]Chris Tensmeyer, Tony R. Martinez:
Analysis of Convolutional Neural Networks for Document Image Classification. ICDAR 2017: 388-393 - [c48]Chris Tensmeyer, Daniel Saunders, Tony R. Martinez:
Convolutional Neural Networks for Font Classification. ICDAR 2017: 985-990 - [c47]Taetem Simms, Clayton Ramstedt, Megan Rich, Michael Richards, Tony R. Martinez, Christophe G. Giraud-Carrier:
Detecting Cognitive Distortions Through Machine Learning Text Analytics. ICHI 2017: 508-512 - [i15]Chris Tensmeyer, Tony R. Martinez:
Analysis of Convolutional Neural Networks for Document Image Classification. CoRR abs/1708.03273 (2017) - [i14]Chris Tensmeyer, Tony R. Martinez:
Document Image Binarization with Fully Convolutional Neural Networks. CoRR abs/1708.03276 (2017) - [i13]Chris Tensmeyer, Daniel Saunders, Tony R. Martinez:
Convolutional Neural Networks for Font Classification. CoRR abs/1708.03669 (2017) - 2016
- [j40]Michael R. Smith, Tony R. Martinez:
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems. Comput. Intell. 32(2): 167-195 (2016) - [j39]Michael S. Gashler, Michael R. Smith, Richard G. Morris, Tony R. Martinez:
Missing Value Imputation with Unsupervised Backpropagation. Comput. Intell. 32(2): 196-215 (2016) - 2015
- [c46]Michael R. Smith, Michael S. Gashler, Tony R. Martinez:
A hybrid latent variable neural network model for item recommendation. IJCNN 2015: 1-7 - [c45]Michael R. Smith, Tony R. Martinez:
Using Classifier diversity to handle label noise. IJCNN 2015: 1-8 - [c44]Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier:
The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter Optimization. MetaSel@PKDD/ECML 2015: 3-14 - 2014
- [j37]Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier:
An instance level analysis of data complexity. Mach. Learn. 95(2): 225-256 (2014) - [c43]Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez:
Recommending Learning Algorithms and Their Associated Hyperparameters. MetaSel@ECAI 2014: 39-40 - [c42]Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez:
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. MetaSel@ECAI 2014: 41-48 - [c41]Michael R. Smith, Tony R. Martinez:
Reducing the Effects of Detrimental Instances. ICMLA 2014: 183-188 - [i12]Michael R. Smith, Tony R. Martinez:
Becoming More Robust to Label Noise with Classifier Diversity. CoRR abs/1403.1893 (2014) - [i11]Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier:
The Potential Benefits of Filtering Versus Hyper-Parameter Optimization. CoRR abs/1403.3342 (2014) - [i10]Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez:
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. CoRR abs/1405.7292 (2014) - [i9]Michael R. Smith, Tony R. Martinez, Michael Gashler:
A Hybrid Latent Variable Neural Network Model for Item Recommendation. CoRR abs/1406.2235 (2014) - [i8]Michael R. Smith, Tony R. Martinez:
Reducing the Effects of Detrimental Instances. CoRR abs/1406.2237 (2014) - [i7]Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez:
Recommending Learning Algorithms and Their Associated Hyperparameters. CoRR abs/1407.1890 (2014) - [i6]Richard G. Morris, Tony R. Martinez, Michael R. Smith:
A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning. CoRR abs/1410.4777 (2014) - 2013
- [j36]Kristine Monteith, Tony R. Martinez:
Aggregate Certainty estimators. Comput. Intell. 29(2): 207-232 (2013) - [c40]Kristine Monteith, Bruce Brown, Dan Ventura, Tony R. Martinez:
Automatic Generation of Music for Inducing Physiological Response. CogSci 2013 - [i5]Michael R. Smith, Tony R. Martinez:
An Extensive Evaluation of Filtering Misclassified Instances in Supervised Classification Tasks. CoRR abs/1312.3970 (2013) - [i4]Michael R. Smith, Tony R. Martinez:
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting. CoRR abs/1312.4986 (2013) - [i3]Michael Gashler, Michael R. Smith, Richard G. Morris, Tony R. Martinez:
Missing Value Imputation With Unsupervised Backpropagation. CoRR abs/1312.5394 (2013) - 2012
- [j34]Michael Gashler, Tony R. Martinez:
Robust manifold learning with CycleCut. Connect. Sci. 24(1): 57-69 (2012) - [c39]Kristine Monteith, Tony R. Martinez, Dan Ventura:
Automatic Generation of Melodic Accompaniments for Lyrics. ICCC 2012: 87-94 - 2011
- [j33]Michael Gashler, Dan Ventura, Tony R. Martinez:
Manifold Learning by Graduated Optimization. IEEE Trans. Syst. Man Cybern. Part B 41(6): 1458-1470 (2011) - [c38]Kristine Monteith, Virginia Francisco, Tony R. Martinez, Pablo Gervás, Dan Ventura:
Automatic Generation of Emotionally-Targeted Soundtracks. ICCC 2011: 60-62 - [c36]Michael Gashler, Tony R. Martinez:
Temporal nonlinear dimensionality reduction. IJCNN 2011: 1959-1966 - [c35]Michael Gashler, Tony R. Martinez:
Tangent space guided intelligent neighbor finding. IJCNN 2011: 2617-2624 - [c34]Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez:
Turning Bayesian model averaging into Bayesian model combination. IJCNN 2011: 2657-2663 - [c33]Michael R. Smith, Tony R. Martinez:
Improving classification accuracy by identifying and removing instances that should be misclassified. IJCNN 2011: 2690-2697 - 2010
- [c30]Kristine Monteith, Tony R. Martinez, Dan Ventura:
Automatic Generation of Music for Inducing Emotive Response. ICCC 2010: 140-149 - [c29]Kristine Monteith, Tony R. Martinez:
Using multiple measures to predict confidence in instance classification. IJCNN 2010: 1-8 - 2008
- [c28]Michael Gashler, Christophe G. Giraud-Carrier, Tony R. Martinez:
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous. ICMLA 2008: 900-905 - 2007
- [j27]Christophe G. Giraud-Carrier, Tony R. Martinez:
Learning by Discrimination: A Constructive Incremental Approach. J. Comput. 2(7): 49-58 (2007) - [c27]Michael Gashler, Dan Ventura, Tony R. Martinez:
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. NIPS 2007: 513-520 - 2003
- [j23]D. Randall Wilson, Tony R. Martinez:
The general inefficiency of batch training for gradient descent learning. Neural Networks 16(10): 1429-1451 (2003) - 2000
- [j19]D. Randall Wilson, Tony R. Martinez:
An Integrated Instance-Based Learning Algorithm. Comput. Intell. 16(1): 1-28 (2000) - [j18]Dan Ventura, Tony R. Martinez:
Quantum associative memory. Inf. Sci. 124(1-4): 273-296 (2000) - [j16]D. Randall Wilson, Tony R. Martinez:
Reduction Techniques for Instance-Based Learning Algorithms. Mach. Learn. 38(3): 257-286 (2000) - [c24]D. Randall Wilson, Tony R. Martinez:
The Inefficiency of Batch Training for Large Training Sets. IJCNN (2) 2000: 113-117 - 1999
- [c22]Dan Ventura, Tony R. Martinez:
A Quantum Associative Memory Based on Grover's Algorithm. ICANNGA 1999: 22-27 - [c18]D. Randall Wilson, Dan Ventura, Brian Moncur, Tony R. Martinez:
The robustness of relaxation rates in constraint satisfaction networks. IJCNN 1999: 650-654 - [c17]D. Randall Wilson, Tony R. Martinez:
Combining cross-validation and confidence to measure fitness. IJCNN 1999: 1409-1414 - [c16]Tim Andersen, Tony R. Martinez:
The little neuron that could. IJCNN 1999: 1608-1613 - [c15]Tim Andersen, Tony R. Martinez:
Cross validation and MLP architecture selection. IJCNN 1999: 1614-1619 - [c14]Dan Ventura, D. Randall Wilson, Brian Moncur, Tony R. Martinez:
A neural model of centered tri-gram speech recognition. IJCNN 1999: 3050-3053 - 1997
- [j12]D. Randall Wilson, Tony R. Martinez:
Improved Heterogeneous Distance Functions. J. Artif. Intell. Res. 6: 1-34 (1997) - [c13]Dan Ventura, Tony R. Martinez:
An Artificial Neuron with Quantum Mechanical Properties. ICANNGA 1997: 482-485 - [c12]D. Randall Wilson, Tony R. Martinez:
Improved Center Point Selection for Probabilistic Neural Networks. ICANNGA 1997: 514-517 - [c11]D. Randall Wilson, Tony R. Martinez:
Instance Pruning Techniques. ICML 1997: 403-411 - [i2]D. Randall Wilson, Tony R. Martinez:
Improved Heterogeneous Distance Functions. CoRR cs.AI/9701101 (1997) - 1996
- [c10]Dan Ventura, Tony R. Martinez:
Robust optimization using training set evolution. ICNN 1996: 524-528 - [c9]D. Randall Wilson, Tony R. Martinez:
Heterogeneous radial basis function networks. ICNN 1996: 1263-1267 - 1995
- [j10]Christophe G. Giraud-Carrier, Tony R. Martinez:
An Integrated Framework for Learning and Reasoning. J. Artif. Intell. Res. 3: 147-185 (1995) - [j9]Christophe G. Giraud-Carrier, Tony R. Martinez:
Analysis of the Convergence and Generalization of AA1. J. Parallel Distributed Comput. 26(1): 125-131 (1995) - [c7]Christophe G. Giraud-Carrier, Tony R. Martinez:
AA1*: A Dynamic Incremental Network that Learns by Discrimination. ICANNGA 1995: 45-48 - [c6]Dan Ventura, Tim Andersen, Tony R. Martinez:
Using Evolutionary Computation to Generate Training Set Data for Neural Networks. ICANNGA 1995: 468-471 - [i1]Christophe G. Giraud-Carrier, Tony R. Martinez:
An Integrated Framework for Learning and Reasoning. CoRR abs/cs/9508102 (1995) - 1993
- [c4]Christophe G. Giraud-Carrier, Tony R. Martinez:
Using precepts to augment training set learning. ANNES 1993: 46-51 - [c3]D. Randall Wilson, Tony R. Martinez:
The importance of using multiple styles of generalization. ANNES 1993: 54-57
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last updated on 2024-04-19 19:25 CEST by the dblp team
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