Carnegie Mellon University
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Fernando De la Torre Frade
Associate Research Professor, RI
Office: EDSH 217
Phone: (412) 268-4706
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Administrative Assistant: Peggy A. Martin
Personal Homepage

Past Projects [Current Projects]
Automatic Segmentation of Proteomic Images
Segmentation and quantification of protein differences between two proteomic images.
Bird Classification
Segmentation and classification of birds from images.
Camera Assisted Meeting Event Observer (CAMEO)
We are developing the Camera Assisted Meeting Event Observer (CAMEO) - a sensory system designed to provide an electronic agent with physical awareness of the real world.
Component Analysis for Data Analysis
Component analysis (CA) is a set of techniques to decompose a signal (e.g. audio, video) into interesting components useful for classification, clustering, modeling or visualization. This project extends traditional CA techniques and unifies them, providing a cleaner theoretical framework for its analysis.
Face Model Building and Fitting
Techniques for building and fitting 2D and 3D models of human faces and heads.
Learning Kernel Expansions for Image Classification
Learning non-linear representations of a signal in order to improve classification performance.
Machine learning approaches to invert the Radiative Transfer Equation
Supervised learning approaches to invert the non-linear Radiative Transfer Equation in remote sensing problems.
Quality of Life Technology (QoLT)
QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.

Note: The QoLT Project has been superseded by the QoLT Center.
Reflective Agents with Distributed Adaptive Reasoning (RADAR)
The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function without requiring expert tuning or specially trained users.