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Chapter and Conference Paper
Coarse-to-Fine Minimization of Some Common Nonconvexities
The continuation method is a popular heuristic in computer vision for nonconvex optimization. The idea is to start from a simplified problem and gradually deform it to the actual problem while tracking the sol...
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Chapter and Conference Paper
On the Link between Gaussian Homotopy Continuation and Convex Envelopes
The continuation method is a popular heuristic in computer vision for nonconvex optimization. The idea is to start from a simplified problem and gradually deform it to the actual task while tracking the soluti...
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Chapter and Conference Paper
A Bayesian State-Space Approach for Damage Detection and Classification
The problem of automatic damage detection in civil structures is complex and requires a system that can interpret sensor data into meaningful information. We apply our recently developed switching Bayesian mod...
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Chapter and Conference Paper
Natural Image Segmentation with Adaptive Texture and Boundary Encoding
We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations that a homogeneously textured ...