Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"low-dimensional manifolds"”.
-
Efficient ML Inference via Matrix-Vector Approximations
… comparing quantization, sparsification, and low-rank approximations. Our analysis spans four perspectives: (1) how different methods trade off ℓ₂ error and compression, (2) how weight statistics and input distributions shape error, (3) how well ℓ₂ error predicts classification accuracy, and …
-
Geometric Dimensionality Reduction
… has resulted in a surge of research into dimensionality reduction techniques that spans across numerous mathematical disciplines. In this thesis we establish Geometric Dimensionality Reduction, a non-linear data compression technique that utilizes low dimensional manifolds embedded in …
-
Evaluating Surface Mechanisms for Catalytic Combustion Of H2 and CH4 on Pd Catalysts
… numerical model for a catalytic channel flow with intra-phase diffusion in the porous washcoat support. Mechanisms for low temperature (< 250ºC) combustion of H2 under excess O2 and for relatively high temperature (> 400ºC) CH4 combustion under excess O2 have been developed and evaluated …
-
On the High-Dimensional Geometry of Neuronal Population Dynamics
… In the first part, we investigated the dimensionality and spatiotemporal structure of cortex-wide dynamics during spontaneous and uninstructed behaviors in the mouse, encompassing up to one million neurons recorded simultaneously and at multi-Hertz volume rates. While more than a decade …
-
On the 3D point cloud for human-pose estimation
… of interest. This step is important because it allows us to reduce the number of 3D points by keeping only those points that correspond to the human body for further processing. In the hierarchical structuring, the pre-processed 3D point cloud is partitioned and replicated into a tree structure as …
-
Mechanisms underlying spatial navigation
… that the population activity evolved across a low-dimensional manifold that represented the virtual track. Noisy velocity inputs pushed the trajectory along the manifold, enabling the tracking of location. Using fixed-point analysis I found that the manifold was segmented by input-dependent …