| 2009 | 
| 20 | EE | Dominic W. Massaro,
Miguel Á. Carreira-Perpiñán,
David J. Merrill:
Optimizing Visual Feature Perception for an Automatic Wearable Speech Supplement in Face-to-Face Communication and Classroom Situations.
HICSS 2009: 1-10 | 
| 2008 | 
| 19 | EE | Zhengdong Lu,
Miguel Á. Carreira-Perpiñán:
Constrained spectral clustering through affinity propagation.
CVPR 2008 | 
| 18 | EE | Miguel Á. Carreira-Perpiñán,
Zhengdong Lu:
Dimensionality reduction by unsupervised regression.
CVPR 2008 | 
| 17 | EE | Miguel Á. Carreira-Perpiñán:
Generalised blurring mean-shift algorithms for nonparametric clustering.
CVPR 2008 | 
| 16 | EE | Dominic W. Massaro,
Miguel Á. Carreira-Perpiñán,
David J. Merrill,
Cass Sterling,
Stephanie Bigler,
Elise Piazza,
Marcus Perlman:
IGlasses: an automatic wearable speech supplementin face-to-face communication and classroom situations.
ICMI 2008: 197-198 | 
| 15 | EE | Chao Qin,
Miguel Á. Carreira-Perpiñán:
Trajectory inverse kinematics by conditional density modes.
ICRA 2008: 1979-1986 | 
| 2007 | 
| 14 | EE | Andriy Myronenko,
Xubo B. Song,
Miguel Á. Carreira-Perpiñán:
Free-Form Nonrigid Image Registration Using Generalized Elastic Nets.
CVPR 2007 | 
| 13 | EE | Zhengdong Lu,
Miguel Á. Carreira-Perpiñán,
Cristian Sminchisescu:
People Tracking with the Laplacian Eigenmaps Latent Variable Model.
NIPS 2007 | 
| 12 | EE | Miguel Á. Carreira-Perpiñán:
Gaussian Mean-Shift Is an EM Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 767-776 (2007) | 
| 2006 | 
| 11 | EE | Miguel Á. Carreira-Perpiñán:
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation.
CVPR (1) 2006: 1160-1167 | 
| 10 | EE | Miguel Á. Carreira-Perpiñán:
Fast nonparametric clustering with Gaussian blurring mean-shift.
ICML 2006: 153-160 | 
| 9 | EE | Andriy Myronenko,
Xubo B. Song,
Miguel Á. Carreira-Perpiñán:
Non-rigid point set registration: Coherent Point Drift.
NIPS 2006: 1009-1016 | 
| 2005 | 
| 8 | EE | Miguel Á. Carreira-Perpiñán,
Peter Dayan,
Geoffrey J. Goodhill:
Differential Priors for Elastic Nets.
IDEAL 2005: 335-342 | 
| 2004 | 
| 7 | EE | Xuming He,
Richard S. Zemel,
Miguel Á. Carreira-Perpiñán:
Multiscale Conditional Random Fields for Image Labeling.
CVPR (2) 2004: 695-702 | 
| 6 | EE | Miguel Á. Carreira-Perpiñán,
Richard S. Zemel:
Proximity Graphs for Clustering and Manifold Learning.
NIPS 2004 | 
| 2003 | 
| 5 | EE | Miguel Á. Carreira-Perpiñán,
Christopher K. I. Williams:
On the Number of Modes of a Gaussian Mixture.
Scale-Space 2003: 625-640 | 
| 2002 | 
| 4 | EE | Miguel Á. Carreira-Perpiñán,
Geoffrey J. Goodhill:
Are Visual Cortex Maps Optimized for Coverage?
Neural Computation 14(7): 1545-1560 (2002) | 
| 2000 | 
| 3 | EE | Miguel Á. Carreira-Perpiñán:
Mode-Finding for Mixtures of Gaussian Distributions.
IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1318-1323 (2000) | 
| 2 |   | Miguel Á. Carreira-Perpiñán,
Steve Renals:
Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions.
Neural Computation 12(1): 141-152 (2000) | 
| 1999 | 
| 1 | EE | Miguel Á. Carreira-Perpiñán:
Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints.
NIPS 1999: 414-420 |