Miguel Á. Carreira-Perpiñán

According to our database1, Miguel Á. Carreira-Perpiñán authored at least 88 papers between 1998 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Plug-and-play irrigation control at scale.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization.
CoRR, 2017

Model compression as constrained optimization, with application to neural nets. Part I: general framework.
CoRR, 2017

Fast, accurate spectral clustering using locally linear landmarks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning supervised binary hashing: Optimization vs diversity.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning circulant support vector machines for fast image search.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
ParMAC: distributed optimisation of nested functions, with application to learning binary autoencoders.
CoRR, 2016

An ensemble diversity approach to supervised binary hashing.
CoRR, 2016

Optimizing affinity-based binary hashing using auxiliary coordinates.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

An ensemble diversity approach to supervised binary hashing.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

MAGIC: Model-Based Actuation for Ground Irrigation Control.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

The Variational Nystrom method for large-scale spectral problems.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning Independent, Diverse Binary Hash Functions: Pruning and Locality.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Learning hashing with affinity-based loss functions using auxiliary coordinates.
CoRR, 2015

Hashing with binary autoencoders.
CoRR, 2015

A review of mean-shift algorithms for clustering.
CoRR, 2015

Poster: MICO: Model-Based Irrigation Control Optimization.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

A fast, universal algorithm to learn parametric nonlinear embeddings.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Hashing with binary autoencoders.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Occupancy Modeling and Prediction for Building Energy Management.
TOSN, 2014

The Laplacian K-modes algorithm for clustering.
CoRR, 2014

The role of dimensionality reduction in linear classification.
CoRR, 2014

LASS: a simple assignment model with Laplacian smoothing.
CoRR, 2014

An ADMM algorithm for solving a proximal bound-constrained quadratic program.
CoRR, 2014

Linear-time training of nonlinear low-dimensional embeddings.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Distributed optimization of deeply nested systems.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

The Role of Dimensionality Reduction in Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

LASS: A Simple Assignment Model with Laplacian Smoothing.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Improving wireless link simulation using multilevel markov models.
TOSN, 2013

The K-modes algorithm for clustering
CoRR, 2013

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application.
CoRR, 2013

Locally Linear Landmarks for Large-Scale Manifold Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Quick construction of data-driven models of the short-term behavior of wireless links.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Entropic Affinities: Properties and Efficient Numerical Computation.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Nonlinear low-dimensional regression using auxiliary coordinates.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Distributed optimization of deeply nested systems
CoRR, 2012

Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings
CoRR, 2012

Fast Training of Nonlinear Embedding Algorithms.
Proceedings of the 29th International Conference on Machine Learning, 2012

Regularising an adaptation algorithm for tongue shape models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Learning and adaptation of a tongue shape modelwith missing data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Reconstruction of sequential data with density models
CoRR, 2011

Generalised elastic nets
CoRR, 2011

Enabling building energy auditing using adapted occupancy models.
Proceedings of the BuildSys 2011, 2011

A Denoising View of Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

OBSERVE: Occupancy-based system for efficient reduction of HVAC energy.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Adaptation of a Mixture of Multivariate Bernoulli Distributions.
Proceedings of the IJCAI 2011, 2011

Manifold Learning and Missing Data Recovery through Unsupervised Regression.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Adaptation of a tongue shape model by local feature transformations.
Proceedings of the INTERSPEECH 2010, 2010

Articulatory inversion of american English /turnr/ by conditional density modes.
Proceedings of the INTERSPEECH 2010, 2010

Estimating missing data sequences in x-ray microbeam recordings.
Proceedings of the INTERSPEECH 2010, 2010

The Elastic Embedding Algorithm for Dimensionality Reduction.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Semi-supervised regression with temporal image sequences.
Proceedings of the International Conference on Image Processing, 2010

Reconstructing the full tongue contour from EMA/X-ray microbeam.
Proceedings of the IEEE International Conference on Acoustics, 2010

Manifold blurring mean shift algorithms for manifold denoising.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Parametric dimensionality reduction by unsupervised regression.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Wireless link simulations using multi-level Markov models.
Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, 2009

M&M: multi-level Markov model for wireless link simulations.
Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, 2009

Adaptation of a predictive model of tongue shapes.
Proceedings of the INTERSPEECH 2009, 2009

Optimizing Visual Feature Perception for an Automatic Wearable Speech Supplement in Face-to-Face Communication and Classroom Situations.
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2008
Predicting tongue shapes from a few landmark locations.
Proceedings of the INTERSPEECH 2008, 2008

Trajectory inverse kinematics by conditional density modes.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

IGlasses: an automatic wearable speech supplementin face-to-face communication and classroom situations.
Proceedings of the 10th International Conference on Multimodal Interfaces, 2008

Trajectory inverse kinematics by nonlinear, nongaussian tracking.
Proceedings of the IEEE International Conference on Acoustics, 2008

Density geodesics for similarity clustering.
Proceedings of the IEEE International Conference on Acoustics, 2008

Constrained spectral clustering through affinity propagation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Dimensionality reduction by unsupervised regression.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Generalised blurring mean-shift algorithms for nonparametric clustering.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Gaussian Mean-Shift Is an EM Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

The Laplacian Eigenmaps Latent Variable Model.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

People Tracking with the Laplacian Eigenmaps Latent Variable Model.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A comparison of acoustic features for articulatory inversion.
Proceedings of the INTERSPEECH 2007, 2007

An empirical investigation of the nonuniqueness in the acoustic-to-articulatory mapping.
Proceedings of the INTERSPEECH 2007, 2007

Free-Form Nonrigid Image Registration Using Generalized Elastic Nets.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Non-rigid point set registration: Coherent Point Drift.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Fast nonparametric clustering with Gaussian blurring mean-shift.
Proceedings of the Machine Learning, 2006

Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Acceleration Strategies for Gaussian Mean-Shift Image Segmentation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Differential Priors for Elastic Nets.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

On Contrastive Divergence Learning.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Proximity Graphs for Clustering and Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Multiscale Conditional Random Fields for Image Labeling.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
On the Number of Modes of a Gaussian Mixture.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2002
Are Visual Cortex Maps Optimized for Coverage?
Neural Computation, 2002

2001
Continuous latent variable models for dimensionality reduction and sequential data reconstruction.
PhD thesis, 2001

2000
Mode-Finding for Mixtures of Gaussian Distributions.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions.
Neural Computation, 2000

1999
Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Dimensionality reduction of electropalatographic data using latent variable models.
Speech Communication, 1998


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