Zobrazeno 1 - 10
of 33 850
pro vyhledávání: '"Affine transformations"'
This paper introduces a robust and scalable framework for implementing nested affine transformations in quantum circuits. Utilizing Hadamard-supported conditional initialization and block encoding, the proposed method systematically applies sequentia
Externí odkaz:
http://arxiv.org/abs/2412.09714
Deep architectures are the current state-of-the-art in predicting subjective image quality. Usually, these models are evaluated according to their ability to correlate with human opinion in databases with a range of distortions that may appear in dig
Externí odkaz:
http://arxiv.org/abs/2407.17927
Symmetry detection can improve various machine learning tasks. In the context of continuous symmetry detection, current state of the art experiments are limited to detecting affine transformations. Under the manifold assumption, we outline a framewor
Externí odkaz:
http://arxiv.org/abs/2406.03619
Synthesizing high-quality photorealistic images with textual descriptions as a condition is very challenging. Generative Adversarial Networks (GANs), the classical model for this task, frequently suffer from low consistency between image and text des
Externí odkaz:
http://arxiv.org/abs/2405.08114
Autor:
Iosevich, Alex, Mattila, Pertti, Palsson, Eyvindur, Pham, Minh-Quy, Pham, Thang, Senger, Steven, Shen, Chun-Yen
For Borel subsets $\Theta\subset O(d)\times \mathbb{R}^d$ (the set of all rigid motions) and $E\subset \mathbb{R}^d$, we define \begin{align*} \Theta(E):=\bigcup_{(g,z)\in \Theta}(gE+z). \end{align*} In this paper, we investigate the Lebesgue measure
Externí odkaz:
http://arxiv.org/abs/2405.03087
In this paper, we present two fast and interpretable decomposition methods for 2D homography, which are named Similarity-Kernel-Similarity (SKS) and Affine-Core-Affine (ACA) transformations respectively. Under the minimal $4$-point configuration, the
Externí odkaz:
http://arxiv.org/abs/2402.18008
Autor:
Zhang, Shaojie, Wang, Yinghui, Nan, Bin, Li, Wei, Yang, Jinlong, Yan, Tao, Wang, Yukai, Huang, Liangyi, Wang, Mingfeng, Atadjanov, Ibragim R.
To address the issue of feature descriptors being ineffective in representing grayscale feature information when images undergo high affine transformations, leading to a rapid decline in feature matching accuracy, this paper proposes a region feature
Externí odkaz:
http://arxiv.org/abs/2402.09724
Search for the optimizer in computationally demanding model predictive control (MPC) setups can be facilitated by Cloud as a service provider in cyber-physical systems. This advantage introduces the risk that Cloud can obtain unauthorized access to t
Externí odkaz:
http://arxiv.org/abs/2401.05835
Bayesian Neural Networks (BayNNs) naturally provide uncertainty in their predictions, making them a suitable choice in safety-critical applications. Additionally, their realization using memristor-based in-memory computing (IMC) architectures enables
Externí odkaz:
http://arxiv.org/abs/2401.12416
Autor:
Hamm, Keaton, Korzeniowski, Andrzej
We expound on some known lower bounds of the quadratic Wasserstein distance between random vectors in $\mathbb{R}^n$ with an emphasis on affine transformations that have been used in manifold learning of data in Wasserstein space. In particular, we g
Externí odkaz:
http://arxiv.org/abs/2310.03945