Results 91 to 100 of about 27,772 (256)

Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification

Dianxin kexue, 2017
A face recognition method named WT-CSRC was proposed by using wavelet transform (WT) and a collaboration of double-dictionary's sparse representation-based classification (CSRC).
Fei GONG, Wei JIN, Keqing ZHU, Randi FU, Yan CAO   +4 more
doaj   +2 more sources

Super-sparse principal component analyses for high-throughput genomic data

BMC Bioinformatics, 2010
Background Principal component analysis (PCA) has gained popularity as a method for the analysis of high-dimensional genomic data. However, it is often difficult to interpret the results because the principal components are linear combinations of all ...
Lee Youngjo, Lee Woojoo, Lee Donghwan, Pawitan Yudi   +3 more
doaj   +1 more source

scTIDE: Deciphering Critical Transitions Through Cell‐Perturbed Manifold Graphs and Optimal Transport Conditional Flow Matching

Advanced Science, EarlyView.
scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong, Bowen Niu, Yongbo Yu, Shiyang Nie, Xuerong Gu, Pei Chen, Rui Liu   +6 more
wiley   +1 more source

A Geometric Dictionary Learning Based Approach for Fluorescence Spectroscopy Image Fusion

Applied Sciences, 2017
In recent years, sparse representation approaches have been integrated into multi-focus image fusion methods. The fused images of sparse-representation-based image fusion methods show great performance.
Zhiqin Zhu, Guanqiu Qi, Yi Chai, Penghua Li   +3 more
doaj   +1 more source

Experience‐Dependent Reorganization of Hippocampal CA3 Neuronal Ensembles Associates With Memory Generalization

Advanced Science, EarlyView.
Mice can transfer the learned rule of spatial working memory to guide similar but novel tasks. Hippocampal CA3 populational activity dynamically reorganize during memory generalization, shifting from task‐specific to generalized coding over testing days. Sparse yet redundant neural representations of CA3 enable rule transfer and cognitive map formation,
Da Song, Zilu Zhu, Yujun Deng, Yujie Song, Hui Li, Junjun Ni, Zhenzhen Quan, Yan Yan, Hong Qing   +8 more
wiley   +1 more source

Engineering‐Modulated Molybdenum Enzymes Strategy for Tumor‐Specific Metabolic‐Immunotherapy

Advanced Science, EarlyView.
Biodegradable molybdenum sulfide nanoparticles were synthesized via a one‐pot strategy to increase molybdenum enzyme activity and thus effectively potentiate anti‐tumor immunity by integrating molybdenum‐based metalloimmunotherapy with hydrogen sulfide gas therapy.
Xiaoxiao Pan, Zifan Pei, Jie Wu, Nan Jiang, Qian Li, Yuqi Yang, Jie Cao, Yechen Huang, Shumin Sun, Qialu Du, Zhicheng Liu, Lin Zhang, Fei Gong, Jinhua Zhou, Liang Cheng   +14 more
wiley   +1 more source

A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance

Advanced Science, EarlyView.
Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng, Masaki Nasu, Ayman Abdul‐Ghani, Yu Chen, Shaoqiu Chen, Isam Mohd Ibrahim, Hanqiu Zhang, Lauren Higa, Zitong Gao, Hua Yang, Raphael Bueno, Loïc Le Marchand, Youping Deng   +12 more
wiley   +1 more source

Quartic Quantum Speedups for Planted Inference

Physical Review X
We describe a quantum algorithm for the Planted Noisy kXOR Problem (also known as Sparse Learning Parity with Noise) that achieves a nearly quartic (fourth-power) speedup over the best known classical algorithm while using exponentially less space.
Alexander Schmidhuber, Ryan O’Donnell, Robin Kothari, Ryan Babbush   +3 more
doaj   +1 more source

Ensemble Principal Component Analysis

IEEE Access
Efficient representations of data are essential for processing, exploration, and human understanding, and Principal Component Analysis (PCA) is one of the most common dimensionality reduction techniques used for the analysis of large, multivariate ...
Olga Dorabiala, Aleksandr Y. Aravkin, J. Nathan Kutz   +2 more
doaj   +1 more source

Oja's Algorithm for Streaming Sparse PCA

Advances in Neural Information Processing Systems 37
Oja's algorithm for Streaming Principal Component Analysis (PCA) for $n$ data-points in a $d$ dimensional space achieves the same sin-squared error $O(r_{\mathsf{eff}}/n)$ as the offline algorithm in $O(d)$ space and $O(nd)$ time and a single pass through the datapoints.
Syamantak Kumar, Purnamrita Sarkar
openaire   +3 more sources