Results 281 to 290 of about 1,379,799 (331)
Some of the next articles are maybe not open access.
On gradients and texture "gradients."
Journal of Experimental Psychology: General, 1984Texture gradients, systematic variations in image texture due to perspective projection of surface texture, provide information about the shape and disposition of surfaces relative to a viewer. Although this three-dimensional information is usually described in terms of mathematical relationships involving gradients of image properties (Cutting ...
openaire +2 more sources
18th International Conference on Pattern Recognition (ICPR'06), 2006
We propose a method that uses bootstraping to classify the pixles in the two halves of a sliding window, assuming that if there is a real image boundary separating the two halves, the pixels in the two halves will be classified in two separate classes. The accuracy of the classification is used as a local "gradient".
Vassili A. Kovalev, Maria Petrou
openaire +2 more sources
We propose a method that uses bootstraping to classify the pixles in the two halves of a sliding window, assuming that if there is a real image boundary separating the two halves, the pixels in the two halves will be classified in two separate classes. The accuracy of the classification is used as a local "gradient".
Vassili A. Kovalev, Maria Petrou
openaire +2 more sources
Exploring Simple Siamese Representation Learning
Computer Vision and Pattern Recognition, 2020Siamese networks have become a common structure in various recent models for unsupervised visual representation learning. These models maximize the similarity between two augmentations of one image, subject to certain conditions for avoiding collapsing ...
Xinlei Chen, Kaiming He
semanticscholar +1 more source
Neural Information Processing Systems, 2019
Exchanging gradients is a widely used method in modern multi-node machine learning system (e.g., distributed training, collaborative learning). For a long time, people believed that gradients are safe to share: i.e., the training data will not be leaked ...
Li-Geng Zhu, Zhijian Liu, Song Han
semanticscholar +1 more source
Exchanging gradients is a widely used method in modern multi-node machine learning system (e.g., distributed training, collaborative learning). For a long time, people believed that gradients are safe to share: i.e., the training data will not be leaked ...
Li-Geng Zhu, Zhijian Liu, Song Han
semanticscholar +1 more source
American Journal of Occupational Therapy, 1983
Using a properly timed sequence of early gradient pressure greatly facilitates the burn patient's rehabilitation in our program. Hypersensitivity is avoided or alleviated, skin breakdown is minimized, and early hypertrophic scar development and contracture is controlled.
J M, Bruster, G, Pullium
openaire +2 more sources
Using a properly timed sequence of early gradient pressure greatly facilitates the burn patient's rehabilitation in our program. Hypersensitivity is avoided or alleviated, skin breakdown is minimized, and early hypertrophic scar development and contracture is controlled.
J M, Bruster, G, Pullium
openaire +2 more sources
IEEE Transactions on Signal Processing, 2008
Sparse signal approximations have become a fundamental tool in signal processing with wide-ranging applications from source separation to signal acquisition. The ever-growing number of possible applications and, in particular, the ever-increasing problem sizes now addressed lead to new challenges in terms of computational strategies and the development
Thomas Blumensath +1 more
openaire +3 more sources
Sparse signal approximations have become a fundamental tool in signal processing with wide-ranging applications from source separation to signal acquisition. The ever-growing number of possible applications and, in particular, the ever-increasing problem sizes now addressed lead to new challenges in terms of computational strategies and the development
Thomas Blumensath +1 more
openaire +3 more sources
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
European Conference on Computer VisionToday's deep learning methods focus on how to design the most appropriate objective functions so that the prediction results of the model can be closest to the ground truth. Meanwhile, an appropriate architecture that can facilitate acquisition of enough
Chien-Yao Wang, I-Hau Yeh, Hongpeng Liao
semanticscholar +1 more source
ZOR Zeitschrift f�r Operations Research Methods and Models of Operations Research, 1992
Let \(S^{n-1}=\{g\in\mathbb{R}^ n: \| g\|=1\}\) be the Euclidean sphere in \(\mathbb{R}^ n\). Let \(H:=(L^ 2(S^{n- 1},\lambda),\langle\cdot,\cdot\rangle)\) be the Hilbert space of square- integrable functions on \(S^{n-1}\) with respect to the Lebesgue measure \(\lambda\) in which the inner product is canonically given.
openaire +1 more source
Let \(S^{n-1}=\{g\in\mathbb{R}^ n: \| g\|=1\}\) be the Euclidean sphere in \(\mathbb{R}^ n\). Let \(H:=(L^ 2(S^{n- 1},\lambda),\langle\cdot,\cdot\rangle)\) be the Hilbert space of square- integrable functions on \(S^{n-1}\) with respect to the Lebesgue measure \(\lambda\) in which the inner product is canonically given.
openaire +1 more source
A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks
IEEE Transactions on Information Forensics and SecurityAlthough federated learning offers a level of privacy by aggregating user data without direct access, it remains inherently vulnerable to various attacks, including poisoning attacks where malicious actors submit gradients that reduce model accuracy.
Abbas Yazdinejad +4 more
semanticscholar +1 more source
2014
Surface-chemical and -morphological gradients can be extremely useful in cell-biological research as high-throughput screening tools-for example, exposing a given set of cells to many different surface conditions at once, under identical ambient conditions, in order to monitor cell behavior such as proliferation or specific gene expression.
Venkataraman NV +4 more
openaire +3 more sources
Surface-chemical and -morphological gradients can be extremely useful in cell-biological research as high-throughput screening tools-for example, exposing a given set of cells to many different surface conditions at once, under identical ambient conditions, in order to monitor cell behavior such as proliferation or specific gene expression.
Venkataraman NV +4 more
openaire +3 more sources