Publications

Found 68 results
Author Title Type [ Year(Asc)]
2015
Moyou M, Ihou KEddy, Haber R, Smith AO, Peter AM, Fox K, Henning R. Bayesian Fusion of Back Projected Probabilities (BFBP): Co-occurrence Descriptors for Tracking in Complex Environments. In: Battiato S, Blanc-Talon J, Gallo G, Philips W, Popescu D, Scheunders P Advanced Concepts for Intelligent Vision Systems. Vol. 9386. Advanced Concepts for Intelligent Vision Systems. Springer International Publishing; 2015. pp. 167-180. Available from: http://dx.doi.org/10.1007/978-3-319-25903-1_15
Haber R, Rangarajan A, Peter AM. Discriminative Interpolation for Classification of Functional Data. In: Appice A, Rodrigues PPereira, Costa VSantos, Soares C, Gama J, Jorge A Machine Learning and Knowledge Discovery in Databases. Vol. 9284. Machine Learning and Knowledge Discovery in Databases. Springer International Publishing; 2015. pp. 20-36. Available from: http://dx.doi.org/10.1007/978-3-319-23528-8_2
Huang Y, Georgiopoulos M, Anagnostopoulos GC. Hash Function Learning via Codewords. In: Machine Learning and Knowledge Discovery in Databases. Vol. 9284. Machine Learning and Knowledge Discovery in Databases. Springer International Publishing; 2015. pp. 659-674.
Li C, Georgiopoulos M, Anagnostopoulos GC. Multitask Classification Hypothesis Space With Improved Generalization Bounds. Neural Networks and Learning Systems, IEEE Transactions on. 2015 ;26(7):1468-1479.
Yousefi N, Georgiopoulos M, Anagnostopoulos GC. Multi-Task Learning with Group-Specific Feature Space Sharing. In: Machine Learning and Knowledge Discovery in Databases. Vol. 9285. Machine Learning and Knowledge Discovery in Databases. Springer International Publishing; 2015. pp. 120-136.
Li C, Georgiopoulos M, Anagnostopoulos GC. Pareto-Path Multitask Multiple Kernel Learning. Neural Networks and Learning Systems, IEEE Transactions on. 2015 ;26(1):51-61.
Otero CE, Peter AM. Research Directions for Engineering Big Data Analytics Software. Intelligent Systems, IEEE. 2015 ;30:13-19.
Zhang T, Georgiopoulos M, Anagnostopoulos GC. SPRINT Multi-Objective Model Racing. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference [Internet]. 2015 :1383-1390. Available from: http://doi.acm.org/10.1145/2739480.2754791
2014
Li C, Georgiopoulos M, Anagnostopoulos GC. Conic Multi-task Classification. Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2014, Nancy, France, September 15-19, 2014. Proceedings, Part {II}. 2014 :193-208.
Khayrattee A, Anagnostopoulos GC. Derivative free optimization using a population-based stochastic gradient estimator. In: Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014. Vancouver, BC, Canada: Association for Computing Machinery (ACM); 2014.
Otero CE, Rossi M, Peter AM, Haber R. Determining Human-Perceived Level of Safety in Transportation Systems using Big Data Analytics. In: International Conference on Internet Computing and Big Data. International Conference on Internet Computing and Big Data. ; 2014.
Moyou M, Ihou KE, Peter AM. LBO-Shape Densities: Efficient 3D Shape Retrieval Using Wavelet Density Estimation. In: Pattern Recognition (ICPR), 2014 22nd International Conference on. Pattern Recognition (ICPR), 2014 22nd International Conference on. ; 2014.
Shorter N, Smith AO, Stark R, Smith P, R. Romain S, Blask S. Massively Parallelized Point Spread Function Noise Filtering for Geiger Mode LiDAR. In: GPU Technology Conference. GPU Technology Conference. ; 2014.
Peter AM, Gurumoorthy KS, Moyou M, Rangarajan A. A New Energy Minimization Framework and Sparse Linear System for Path Planning and Shape from Shading. In: Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing. Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing. New York, NY, USA: ACM; 2014. Available from: http://doi.acm.org/10.1145/2683483.2683498
Zhang T, Georgiopoulos M, Anagnostopoulos GC. Online model racing based on extreme performance. In: Genetic and Evolutionary Computation Conference, {GECCO} '14, Vancouver, BC, Canada, July 12-16, 2014. Genetic and Evolutionary Computation Conference, {GECCO} '14, Vancouver, BC, Canada, July 12-16, 2014. Vancouver, BC, Canada: Association for Computing Machinery (ACM); 2014.
Rose DMark, Rouly JMichel, Haber R, Mijatovic N, Peter AM. Parallel Hierarchical Affinity Propagation with MapReduce. In: Proceedings of the 2014 IEEE International Conference on Cloud Engineering. Proceedings of the 2014 IEEE International Conference on Cloud Engineering. Washington, DC, USA: IEEE Computer Society; 2014. Available from: http://dx.doi.org/10.1109/IC2E.2014.42
Smith AO, Rahmes M, Blue M, Peter AM. Path optimization for oil probe. In: ; 2014. Available from: http://dx.doi.org/10.1117/12.2050033
Liebold J, Dalli D, McCay M, Cory D, Peter AM. A Study of MultiCopter Power Source Selection: From Lithium Polymers to Fuel Cells. In: AUVSI Unmanned Systems Conference. AUVSI Unmanned Systems Conference. ; 2014.
Lineberger K, Levitt J, Smith DJ, Van Nguyen T, Peter AM. A Systems Engineering Approach to Quantitative Comparison of Molecular Instruments for Use on the International Space Station. Procedia Computer Science [Internet]. 2014 ;28:340 - 346. Available from: http://www.sciencedirect.com/science/article/pii/S1877050914001057
Li C, Georgiopoulos M, Anagnostopoulos GC. A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. Neural Networks and Learning Systems, IEEE Transactions on. 2014 ;25(7):1287-1297.
Otero CE, Haber R, Peter AM, Alsayyari A, Kostanic I. A Wireless Sensor Networks' Analytics System for Predicting Performance in On-Demand Deployments. Systems Journal, IEEE. 2014 ;PP:1-10.
2013
Shorter N, Locke J, Smith AO, Keating E, Smith P. 3D Graph Segmentation for Target Detection in FOPEN LiDAR Data. In: Laser Radar Technology and Applications XVIII. Laser Radar Technology and Applications XVIII. Baltimore, Maryland, United States; 2013.
Li C, Georgiopoulos M, Anagnostopoulos GC. Kernel-based Distance Metric Learning in the Output Space. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN). 2013 :1-8.
Locke B, Peter AM. Multiwavelet Density Estimation. Applied Mathematics and Computation. 2013 ;219(11).
Smith AO, Stark R, Smith P, Romain RSt., Blask S. Point Spread Function (PSF) noise filter strategy for geiger mode LiDAR. In: ; 2013. Available from: http://dx.doi.org/10.1117/12.2016116

Pages