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

Miguel Á. Carreira-Perpiñán

Electrical Engineering and Computer Science
School of Engineering
University of California, Merced
Office: SE2-217, lab: SE2-213B
5200 N. Lake Road
Merced, CA 95343

Tel 209-2284545 (office), 209-2284097 (lab)
Fax 209-2284047
Email: mcarreira-perpinan [at] ucmerced.edu
WWW: http://faculty.ucmerced.edu/mcarreira-perpinan

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Research interests

My basic research interests are in machine learning. Most recently, 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, and for nonlinear embeddings. 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: Fri Jul 15 20:37:04 PDT 2016

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