Carnegie Mellon Robotics Institute
|Past Projects [Current Projects]|
|Automatic Segmentation of Proteomic Images
Segmentation and quantification of protein differences between two proteomic images.
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.
|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.
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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