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Article
Design sensitivity and optimization of powertrain mount system design parameters for rigid body modes and kinetic energy distributions
This study evaluates the influences of the powertrain mount design parameters on the frequencies of powertrain rigid body modes and their kinetic energy distributions (KEDs), which play an important role in th...
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Article
Bayesian regression-based developmental norms for the Benton Facial Recognition Test in males and females
Face identity recognition is important for social interaction and is impaired in a range of clinical disorders, including several neurodevelopmental disorders. The Benton Facial Recognition Test (BFRT; Benton ...
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Article
Open AccessDeviation from normative brain development is associated with symptom severity in autism spectrum disorder
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical brain development, and how this deviation relates to obser...
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Chapter and Conference Paper
A Graph Representation and Similarity Measure for Brain Networks with Nodal Features
The human brain demonstrates a network structure that is commonly represented using graphs with pseudonym connectome. Traditionally, connectomes encode only inter-regional connectivity as edges, while regional...
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Chapter and Conference Paper
Subject-Specific Structural Parcellations Based on Randomized AB-divergences
Brain parcellation provides a means to approach the brain in smaller regions. It also affords an appropriate dimensionality reduction in the creation of connectomes. Most approaches to creating connectomes sta...
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Chapter and Conference Paper
Towards a Quantified Network Portrait of a Population
Computational network analysis has enabled researchers to investigate patterns of interactions between anatomical regions of the brain. Identification of subnetworks of the human connectome can reveal how the ...
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Chapter and Conference Paper
Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering
The clustering of fibers into bundles is an important task in studying the structure and function of white matter. Existing technology mostly relies on geometrical features, such as the shape of fibers, and th...
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Chapter and Conference Paper
LZM in Action: Realtime Face Recognition System
In this technical demonstration, we introduce a real time face detection and recognition prototype. The proposed system can work with different image sources such as still images, videos from web cameras , and...
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Article
Manifold learning for face recognition under changing illumination
Appearance-based methods have been proven to be useful for face recognition tasks. The main problem with appearance-based methods originates from the multimodality of face images. It is known that images of di...
