Results 271 to 280 of about 1,148,156 (325)

Uniform Projection Designs and Strong Orthogonal Arrays

Journal of the American Statistical Association, 2021
We explore the connections between uniform projection designs and strong orthogonal arrays of strength in this article. Both of these classes of designs are suitable designs for computer experiments and space-filling in two-dimensional margins, but they ...
Cheng-Yu Sun, Boxin Tang
semanticscholar   +1 more source

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

International Conference on Learning Representations
Neuromorphic computing with spiking neural networks is promising for energy-efficient artificial intelligence (AI) applications. However, different from humans who continually learn different tasks in a lifetime, neural network models suffer from ...
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, D.K. He, Zhouchen Lin   +4 more
semanticscholar   +1 more source

Orthogonal Projection Analysis

2012
In this paper, we propose a novel linear dimensionality reduction algorithm, called Orthogonal Projection Analysis (OPA), from a gradient field perspective. Our approach is based on the following two criteria. First, the linear map should preserve the metric of the ambient space, which is based on the assumption that the metric of the ambient space is ...
Binbin Lin, Chiyuan Zhang, Xiaofei He 0001   +2 more
openaire   +1 more source

MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection

International Conference on Learning Representations
KV cache has become a de facto technique for the inference of large language models (LLMs), where tensors of shape (layer number, head number, sequence length, feature dimension) are introduced to cache historical information for self-attention.
Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng   +7 more
semanticscholar   +1 more source

Projection to latent structures with orthogonal constraints for metabolomics data

, 2018
Multivariate techniques based on projection methods such as Principal Component Analysis and Partial Least Squares (PLS) regression are widely applied in metabolomics.
M. Stocchero, S. Riccadonna, P. Franceschi   +2 more
semanticscholar   +2 more sources

Learning orthogonal projections for Isomap

Neurocomputing, 2013
We propose a dimensionality reduction technique in this paper, named Orthogonal Isometric Projection (OIP). In contrast with Isomap, which learns the low-dimension embedding, and solves problem under the classic Multidimensional Scaling (MDS) framework, we consider an explicit linear projection by capturing the geodesic distance, which is able to ...
Yali Zheng, Bin Fang 0001, Yuan Yan Tang, Taiping Zhang, Ruizong Liu   +4 more
openaire   +1 more source

Radar Detection of Small Target in Sea Clutter Using Orthogonal Projection

IEEE Geoscience and Remote Sensing Letters, 2019
Sea clutter submerges the small target echo, which is disadvantageous for radar target detection. In this letter, we propose to suppress the sea clutter by orthogonal projection (OP).
Yong Yang, S. Xiao, Xuesong Wang
semanticscholar   +1 more source

A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction

The Web Conference, 2019
Hypernymy is a semantic relation, expressing the “is-a” relation between a concept and its instances. Such relations are building blocks for large-scale taxonomies, ontologies and knowledge graphs.
Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou   +3 more
semanticscholar   +1 more source

Smooth Orthogonal Projections on Sphere

Constructive Approximation, 2014
Smooth projections on the real line were studied systematically by \textit{P. Auscher} et al. [in: Wavelets: A tutorial in theory and applications. Boston, MA etc.: Academic Press. 237--256 (1992; Zbl 0767.42009)] in their study of local sine and cosine bases of \textit{R. R. Coifman} and \textit{Y. Meyer} [C. R. Acad. Sci., Paris, Sér. I 312, No.
Bownik, Marcin, Dziedziul, Karol
openaire   +2 more sources

Orthogonal projections and the assignment problem

Proceedings of International Conference on Neural Networks (ICNN'96), 2002
The neural network approach to optimization problems, such as the assignment problem (AP) and the travelling salesman problem (TSP), has introduced new representations. The paper presents the theoretical explanation of the feasible space, and the simplification of the dynamics of the neural approach to the AP brings together several results and ...
William J. Wolfe, Richard M. Ulmer
openaire   +1 more source