Sequence Analysis and Modeling Lab
Videos
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10-2 |
dudek |
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trellis 70 |
Al Pacino |
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Angelina Jolie |
Bill Gates |
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Jodie Foster |
Julia Roberts |
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Steven Spielberg |
Tony Blair |
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Tracking and Recognition – Bill Clinton |
Tracking and Recognition – Jodie Foster |
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Tracking and Recognition – Tony Blair |
Video-based Face Tracking and Recognition with Visual Constraints [1]
We address the problem of tracking and recognition of faces in real-world, noisy videos. We identify faces using a tracker that adaptively builds the target model reflecting changes in appearance, typical … Read the rest
Image segmentation is one of the most important steps leading to the analysis of image data. The goal is dividing the image into parts that have homogeneous attributes, and have a strong correlation with objects or areas of the real … Read the rest
Shape analysis is an important process for many computer vision applications, including image classification, recognition, retrieval, registration, segmentation, etc. An ideal shape model should be both invariant to global transformations and robust to local distortions. In this work we developed … Read the rest
Nonlinear Dimensionality Reduction for Regression [1]
The task of dimensionality reduction for regression (DRR) is to find a low dimensional representation, z (q-dim), of the input covariates, x (p-dim), with q << p, for regressing the output, y (d-dim), given … Read the rest
Gaussian Process Manifold Kernel Dimensionality Reduction (GPMKDR) [1]
Constructing optimal regressors is an important task in computer vision. Problems such as tracking, 3D human and general object pose estimation, image and signal denoising, illumination direction estimation are but some of … Read the rest
Discriminative Graphical Models
In Collaboration with Dr. James M. Rehg and Yushi Jing, College of Computing, Georgia Institute of Technology.
Discriminative learning, or learning for classification, is a common learning task that has been addressed in a number of different … Read the rest
The brain mechanisms underlying the ability of humans to process faces have been studied extensively in the last two decades. Brain imaging techniques, particularly fMRI (functional Magnetic Resonance Imaging) that possesses high spatial resolution but limited temporal resolution, are advancing … Read the rest
Protein Classification and Functional Prediction
Problem
Proteins are linear seqeuences of amino acids that perform essential functions in organisms. To determine the function of a protein, expensive experimental procedures are required. With better sequencing techniques, it becomes evident that computational … Read the rest
Kernel Methods for Sequence Classification
DNA Barcoding
Genomic approaches to classification of organisms exploit diversity among DNA sequences to identify organisms. The task of identification is to assign any unidentified organism to the taxonomic group at the target level: class, … Read the rest