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 |