Results 81 to 90 of about 1,813,028 (298)

Fast sparse representation with prototypes [PDF]

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
Sparse representation has found applications in numerous domains and recent developments have been focused on the convex relaxation of the lo-norm minimization for sparse coding (i.e., the l\-norm minimization). Nevertheless, the time and space complexities of these algorithms remain significantly high for large-scale problems.
Jia-Bin Huang 0001, Ming-Hsuan Yang 0001
openaire   +2 more sources

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

, 2022
Multiple graph and semi-supervision techniques have been successfully introduced into the nonnegative matrix factorization (NMF) model for taking full advantage of the manifold structure and priori information of data to capture excellent low-dimensional
Yi Wang, Wang, Yi, Zhao, Xuezhuan, Lingling Li, Zhang, Ji, Di, Jinhong, Kexin Zhang, Jinhong Di, Xuezhuan Zhao, Zhang, Kexin, Ji Zhang, Li, Lingling   +11 more
core   +1 more source

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

Molecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez, Rafael Pérez‐Díaz, Hugo Ramos‐Solano, Marina Garrido‐Casado, Vanessa C. Talayero, Miguel Vicente‐Manzanares   +5 more
wiley   +1 more source

Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries

International Journal of Distributed Sensor Networks, 2017
Sparse representation–based classification and kernel methods have emerged as important methods for pattern recognition. In this work, we study the problem of vehicle recognition using acoustic sensor networks in real-world applications.
Rui Wang, Wenming Cao, Zhihai He
doaj   +1 more source

Face Recognition Algorithm Based on Correlation Coefficient and Ensemble-Augmented Sparsity

IEEE Access, 2020
The representation-based classification method has become a research hotspot in recent years. Representation-based classifiers assign class labels directly to test samples based on a structured dictionary.
Ying Xu, Jinyong Cheng
doaj   +1 more source

Sparse representations, inference and learning

Journal of Statistical Mechanics: Theory and Experiment
Abstract In recent years statistical physics has proven to be a valuable tool to probe into large dimensional inference problems such as the ones occurring in machine learning. Statistical physics provides analytical tools to study fundamental limitations in their solutions and proposes algorithms to solve individual instances.
Lauditi, Clarissa, Troiani, Emanuele, Mezard, Marc   +2 more
openaire   +2 more sources

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

A deep semantic analysis based on sparse feature fusion and knowledge distillation in urban planning

Array
To comprehensively analyze the deep semantic meaning, morphology, and attributes of targets across various scenarios and conditions, this study explores sparse feature fusion and knowledge distillation techniques in deep semantic analysis.
Yuan Li, Yutong Wang, Qi Shen
doaj   +1 more source

SAR Target Configuration Recognition via Product Sparse Representation

Sensors, 2018
Sparse representation (SR) has been verified to be an effective tool for pattern recognition. Considering the multiplicative speckle noise in synthetic aperture radar (SAR) images, a product sparse representation (PSR) algorithm is proposed to achieve ...
Ming Liu, Shichao Chen, Fugang Lu, Mengdao Xing   +3 more
doaj   +1 more source