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Publication search results
found 147 matches
- 2024
- Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Leandro Alves Neves, Alessandro Santana Martins, Chetna Kaushal, Marcelo Zanchetta do Nascimento:
Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images. Pattern Anal. Appl. 27(1): 11 (2024) - Kuo Meng, Shaoshi Yang, Xiao-Yang Wang, Yan Bu, Yurong Tang, Jianhua Zhang, Lajos Hanzo:
Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems. CoRR abs/2403.03771 (2024) - 2023
- Ziwei Huang, Jingjing Zheng, Li Zhao, Huiling Chen, Xianta Jiang, Xiaoqin Zhang:
DL-Net: Sparsity Prior Learning for Grasp Pattern Recognition. IEEE Access 11: 6444-6451 (2023) - Lean Yu, Changhua He:
A shapelet-based behavioral pattern extraction method for credit risk classification with behavior sparsity. Adv. Eng. Informatics 58: 102227 (2023) - Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1749-1765 (2023) - Siying Liu, Pier Luigi Dragotti:
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12444-12458 (2023) - Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An:
Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4474-4493 (2023) - Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu:
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10974-10989 (2023) - Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin:
Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6386-6402 (2023) - Shuangli Du, Yiguang Liu, Minghua Zhao, Zhenyu Xu, Jie Li, Zhenzhen You:
A new image decomposition approach using pixel-wise analysis sparsity model. Pattern Recognit. 136: 109241 (2023) - Mohamed-Ali Belabbas, Xudong Chen, Daniel Zelazo:
On Structural Rank and Resilience of Sparsity Patterns. IEEE Trans. Autom. Control. 68(8): 4783-4795 (2023) - Shinsaku Sakaue, Taihei Oki:
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation. AISTATS 2023: 1-10 - Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney:
1-Bit Compressed Sensing with Local Sparsity Patterns. ISIT 2023: 1172-1177 - 2022
- Prateek G. V., Yo-El Ju, Arye Nehorai:
Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data. Circuits Syst. Signal Process. 41(1): 249-298 (2022) - Alessandro R. Galloni, Aya Samadzelkava, Kiran Hiremath, Reuben Oumnov, Aaron D. Milstein:
Recurrent Excitatory Feedback From Mossy Cells Enhances Sparsity and Pattern Separation in the Dentate Gyrus via Indirect Feedback Inhibition. Frontiers Comput. Neurosci. 16: 826278 (2022) - Souad Mohaoui, Abdelilah Hakim, Said Raghay:
Parallel matrix factorization-based collaborative sparsity and smooth prior for estimating missing values in multidimensional data. Pattern Anal. Appl. 25(4): 963-980 (2022) - Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6224-6239 (2022) - Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Asit Kumar Das, Rammohan Mallipeddi:
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. Pattern Recognit. 122: 108279 (2022) - Shuping Zhao, Jigang Wu, Bob Zhang, Lunke Fei:
Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation. Pattern Recognit. 123: 108346 (2022) - Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang:
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. DAC 2022: 259-264 - Alexander J. Leigh, Moslem Heidarpur, Mitra Mirhassani:
Selective Input Sparsity in Spiking Neural Networks for Pattern Classification. ISCAS 2022: 799-803 - Chuyang Ke, Jean Honorio:
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns. CoRR abs/2206.04893 (2022) - Shinsaku Sakaue, Taihei Oki:
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation. CoRR abs/2209.08281 (2022) - 2021
- Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning on Hypergraphs With Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2710-2722 (2021) - Po-Wen Hsieh, Pei-Chiang Shao:
Blind image deblurring based on the sparsity of patch minimum information. Pattern Recognit. 109: 107597 (2021) - Zhenlei Wang, Suyun Zhao, Zheng Li, Hong Chen, Cuiping Li, Yufeng Shen:
Ensemble selection with joint spectral clustering and structural sparsity. Pattern Recognit. 119: 108061 (2021) - Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada:
What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? IEEE Trans. Inf. Theory 67(5): 3060-3074 (2021) - Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang:
BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. ACM Trans. Reconfigurable Technol. Syst. 14(4): 18:1-18:28 (2021) - Shiwei Liu, Zihao Zhao, Yanhong Wang, Qiaosha Zou, Yiyun Zhang, C.-J. Richard Shi:
Systolic-Array Deep-Learning Acceleration Exploring Pattern-Indexed Coordinate-Assisted Sparsity for Real-Time On-Device Speech Processing. ACM Great Lakes Symposium on VLSI 2021: 353-358 - Elbruz Ozen, Alex Orailoglu:
Evolving Complementary Sparsity Patterns for Hardware-Friendly Inference of Sparse DNNs. ICCAD 2021: 1-8
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