[Image (JPEG 5K): Miguel Á. Carreira-Perpiñán, Gullfoss, Iceland, April 2014]  

Miguel Á. Carreira-Perpiñán

Dept. of Computer Science and Engineering
School of Engineering
University of California, Merced
5200 N. Lake Road
Merced, CA 95343

Office: SE2-217, lab: SE2-213B
Email: mcarreira-perpinan [at] ucmerced.edu
WWW: http://faculty.ucmerced.edu/mcarreira-perpinan

Directions for visitors

I am not looking for winter/summer interns or short-term (e.g. 1 year) students.

Research interests

My basic research interests are in machine learning. In recent years, I have been working on topics in the intersection of optimisation and machine learning, in particular in learning algorithms for deep neural nets and other "nested" systems, for decision trees and tree-based models, and for nonlinear embeddings; and algorithms for optimally compressing deep neural nets. Other topics of interest are dimensionality reduction/manifold learning, clustering, denoising and other unsupervised learning problems, and mean-shift algorithms. I often get inspiration from problems in speech processing (e.g. articulatory inversion and model adaptation), computer vision (e.g. segmentation, articulated pose tracking, image registration), sensor networks, robotics (e.g. inverse kinematics) and other application areas. In the past, I also worked on computational neuroscience, specifically on dimension reduction models of the maps of the visual cortex.

Miguel A. Carreira-Perpinan
Last modified: Mon Jan 29 18:26:05 PST 2024

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