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Article
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
As materials researchers increasingly embrace machine-learning (ML) methods, it is natural to wonder what lessons can be learned from other fields undergoing similar developments. In this Review, we comparativ...
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Article
Atypical behaviour and connectivity in SHANK3-mutant macaques
Mutation or disruption of the SH3 and ankyrin repeat domains 3 (SHANK3) gene represents a highly penetrant, monogenic risk factor for autism spectrum disorder, and is a cause of Phelan–McDermid syndrome. Recent a...
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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
Bayesian Nonparametric Intrinsic Image Decomposition
We present a generative, probabilistic model that decomposes an image into reflectance and shading components. The proposed approach uses a Dirichlet process Gaussian mixture model where the mean parameters ev...
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Chapter and Conference Paper
MCMC Curve Sampling for Image Segmentation
We present an algorithm to generate samples from probability distributions on the space of curves. We view a traditional curve evolution energy functional as a negative log probability distribution and sample ...
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Chapter
Geometric and Statistical Approaches to Audiovisual Segmentation
Multimodal approaches are proposed for segmenting multiple speakers using geometric or statistical techniques. When multiple microphones and cameras are available, 3-D audiovisual tracking is used for source s...
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Chapter and Conference Paper
Combining Simple Models to Approximate Complex Dynamics
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample-based approaches. We show that...
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Chapter and Conference Paper
Exact MAP Activity Detection in fMRI Using a GLM with an Ising Spatial Prior
Previous work [5] has shown how Ising spatial priors [1] can be incorported into fMRI analysis in a principled manner by using Mutual Information as a statistic for protocol-related activity. The activation image...
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Chapter
Detection and Analysis of Anisotropic Scattering in SAR Data
Scattering from man-made objects in SAR imagery exhibits aspect and frequency dependencies which are not well modeled by standard SAR imaging techniques. If ignored, these deviations will reduce recognition pe...
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Article
Detection and Analysis of Anisotropic Scattering in SAR Data
Scattering from man-made objects in SAR imagery exhibits aspect and frequency dependencies which are not well modeled by standard SAR imaging techniques. If ignored, these deviations will reduce recognition pe...
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Chapter and Conference Paper
Probabalistic Models and Informative Subspaces for Audiovisual Correspondence
We propose a probabalistic model of single source multi-modal generation and show how algorithms for maximizing mutual information can find the correspondences between components of each signal. We show how no...
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Chapter and Conference Paper
Adaptive Entropy Rates for fMRI Time-Series Analysis
In previous work [Tsai et al, 1999] we introduced an information theoretic approach for analysis of fMRI time-series data. Subsequently, [Kim et al, 2000] we established a relationship between our information the...
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Article
Learning from Examples with Information Theoretic Criteria
This paper discusses a framework for learning based on information theoretic criteria. A novel algorithm based on Renyi's quadratic entropy is used to train, directly from a data set, linear or nonlinear mappe...
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Chapter and Conference Paper
Audio-visual Segmentation and “The Cocktail Party Effect”
Audio-based interfaces usually suffer when noise or other acoustic sources are present in the environment. For robust audio recognition, a single source must first be isolated. Existing solutions to this probl...
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Chapter and Conference Paper
Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis
In previous work a novel information-theoretic approach was introduced for calculating the activation map for fMRI analysis [Tsai et al, 1999]. In that work the use of mutual information as a measure of activatio...
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Chapter and Conference Paper
Analysis of Functional MRI Data Using Mutual Information
A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutual information between two waveforms-the fMRI tempo...
