Mauricio Orozco-Alzate

According to our database1, Mauricio Orozco-Alzate
  • authored at least 38 papers between 2006 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Online learning of time-frequency patterns.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A Block-separable Parallel Implementation for the Weighted Distribution Matching Similarity Measure.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017

2016
Enhancing the dissimilarity-based classification of birdsong recordings.
Ecological Informatics, 2016

Automatic visual inspection: An approach with multi-instance learning.
Computers in Industry, 2016

Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification.
Neurocomputing, 2015

The DTW-based representation space for seismic pattern classification.
Computers & Geosciences, 2015

Multiple Instance Learning-Based Birdsong Classification Using Unsupervised Recording Segmentation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Volcano-Seismic Events Classification Using Document Classification Strategies.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

A Bag Oversampling Approach for Class Imbalance in Multiple Instance Learning.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Improving Representation of the Positive Class in Imbalanced Multiple-Instance Learning.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings.
IEEE Trans. Geoscience and Remote Sensing, 2013

Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano.
Computers & Geosciences, 2013

Selecting feature lines in generalized dissimilarity representations for pattern recognition.
Digital Signal Processing, 2013

On the Informativeness of Asymmetric Dissimilarities.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Rainfall Forecasting Based on Ensemble Empirical Mode Decomposition and Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2013

Threshold Estimation in Energy-Based Methods for Segmenting Birdsong Recordings.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Continuous Multi-way Shape Measure for Dissimilarity Representation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

On Using Asymmetry Information for Classification in Extended Dissimilarity Spaces.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
Classification of three-way data by the dissimilarity representation.
Signal Processing, 2011

Combining Dissimilarities for Three-Way Data Classification.
Computación y Sistemas, 2011

A Study on the Influence of Shape in Classifying Small Spectral Data Sets.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Dissimilarity-based classification for bioacoustic monitoring of bird species.
Proceedings of the IEEE IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011

Feature and Dissimilarity Representations for the Sound-Based Recognition of Bird Species.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure.
Proceedings of the Structural, 2010

Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Classification of Volcano Events Observed by Multiple Seismic Stations.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Prototype Selection for Dissimilarity Representation by a Genetic Algorithm.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
A generalization of dissimilarity representations using feature lines and feature planes.
Pattern Recognition Letters, 2009

2008
Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Generalizing Dissimilarity Representations Using Feature Lines.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Comparison of the nearest feature classifiers for face recognition.
Mach. Vis. Appl., 2006


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