Search Results for author:
Found 7 papers, 1 papers with code
PMSM transient response optimization by end-to-end optimal control
The current vector trajectories of the RNN showed that the RNN could automatically determine arbitrary trajectories in the flux-weakening region in accordance with an arbitrarily designed loss function.
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming
In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited.
Canonical and Compact Point Cloud Representation for Shape Classification
We present a novel compact point cloud representation that is inherently invariant to scale, coordinate change and point permutation.
Binary-decomposed DCNN for accelerating computation and compressing model without retraining
Our method replaces real-valued inner-product computations with binary inner-product computations in existing network models to accelerate computation of inference and decrease model size without the need for retraining.
Fast Supervised Discrete Hashing and its Analysis
In this paper, we propose a learning-based supervised discrete hashing method.
Multiple-Hypothesis Affine Region Estimation With Anisotropic LoG Filters
We propose a method for estimating multiple-hypothesis affine regions from a keypoint by using an anisotropic Laplacian-of-Gaussian (LoG) filter.
Pairwise Rotation Hashing for High-dimensional Features
Binary Hashing is widely used for effective approximate nearest neighbors search.
