6 citations · 29 across the 10 of their papers we have counts for
10 papers
Quasiconformal model with CNN features for large deformation image registration
Ho Law, Gary P. T. Choi, Ka Chun Lam +1
Image registration has been widely studied over the past several decades, with numerous applications in science, engineering and medicine. Most of the conventional mathematical mod…
Mental representations of objects reflect the ways in which we interact with them
Ka Chun Lam, Francisco Pereira, Maryam Vaziri-Pashkam +2
In order to interact with objects in our environment, humans rely on an understanding of the actions that can be performed on them, as well as their properties. When considering co…
Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial Robustness
Patrick McClure, Dustin Moraczewski, Ka Chun Lam +2
Deep neural networks (DNNs) are being increasingly used to make predictions from functional magnetic resonance imaging (fMRI) data. However, they are widely seen as uninterpretable…
Computing quasiconformal folds
Di Qiu, Ka-Chun Lam, Lok-Ming Lui
We propose a novel way of computing surface folding maps via solving a linear PDE. This framework is a generalization to the existing quasiconformal methods and allows manipulation…
A Fast Hierarchically Preconditioned Eigensolver Based On Multiresolution Matrix Decomposition
Thomas Y. Hou, De Huang, Ka Chun Lam +1
In this paper we propose a new iterative method to hierarchically compute a relatively large number of leftmost eigenpairs of a sparse symmetric positive matrix under the multireso…
An adaptive fast solver for a general class of positive definite matrices via energy decomposition
Thomas Y. Hou, D. Huang, K. C. Lam +1
In this paper, we propose an adaptive fast solver for a general class of symmetric positive definite (SPD) matrices which include the well-known graph Laplacian. We achieve this by…