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Publication search results
found 55 matches
- 2024
- Gopal Behera, Neeta Nain, Ravindra Kumar Soni:
Integrating user-side information into matrix factorization to address data sparsity of collaborative filtering. Multim. Syst. 30(2): 64 (2024) - 2023
- Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo de los Campos, Ian Fischer:
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck. AISTATS 2023: 10207-10222 - Xiaomei Zou, Shiyong Hu, Taihao Li:
GRALA: modeling social information for microblog sentiment analysis from the view of balancing sparsity and smoothness of social contexts. APSIPA ASC 2023: 32-37 - Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou:
SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. CIKM 2023: 4205-4209 - Tan Nghia Duong, Thi Thu Trang Pham, Truong Giang Do, Thi Kim Phuong Dinh, Tran Manh Hoang:
A Generalized Autorec Framework Applying Content-based Information for Resolving Data Sparsity Problem. SoICT 2023: 181-188 - 2022
- Adarsh Barik, Jean Honorio:
Information Theoretic Limits For Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. ICASSP 2022: 5173-5177 - Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash:
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck. CoRR abs/2203.02592 (2022) - Pierre Sevestre, Marine Neyret:
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information? CoRR abs/2205.09648 (2022) - 2021
- Maral Kolahkaj, Ali Harounabadi, Alireza Nikravanshalmani, Rahim Chinipardaz:
Incorporating multidimensional information into dynamic recommendation process to cope with cold start and data sparsity problems. J. Ambient Intell. Humaniz. Comput. 12(10): 9535-9554 (2021) - Po-Wen Hsieh, Pei-Chiang Shao:
Blind image deblurring based on the sparsity of patch minimum information. Pattern Recognit. 109: 107597 (2021) - 2020
- Longshan Yang, Junhuan Peng, Huiwei Su, Linlin Xu, Yuebin Wang, Bowen Yu:
Combined Nonlocal Spatial Information and Spatial Group Sparsity in NMF for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 17(10): 1767-1771 (2020) - Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Information Theoretic Data Injection Attacks with Sparsity Constraints. SmartGridComm 2020: 1-6 - Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Information Theoretic Data Injection Attacks with Sparsity Constraints. CoRR abs/2007.02764 (2020) - 2019
- Rana Sedghi, Masoumeh Azghani:
Sparsity-based MIMO interference suppression technique in the presence of imperfect channel state information. IET Commun. 13(19): 3201-3206 (2019) - Jacob Lambert, Eijiro Takeuchi, Kazuya Takeda:
Optimizing Learned Object Detection on Point Clouds from 3D Lidars Through Range and Sparsity Information. APSIPA 2019: 407-413 - 2018
- Yang Li, Longshan Wu, Ning Zhang:
A CFAR Detector Based on a Robust Combined Method With Spatial Information and Sparsity Regularization in Non-Homogeneous Weibull Clutter. IEEE Access 6: 16279-16293 (2018) - Rabia Tugce Yazicigil, Tanbir Haque, Manoj Kumar, Jeffery Yuan, John Wright, Peter R. Kinget:
How to Make Analog-to-Information Converters Work in Dynamic Spectrum Environments With Changing Sparsity Conditions. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(6): 1775-1784 (2018) - Di Chen, Zhongyuan Zhao, Zhendong Mao, Mugen Peng:
Channel Matrix Sparsity With Imperfect Channel State Information in Cloud Radio Access Networks. IEEE Trans. Veh. Technol. 67(2): 1363-1374 (2018) - Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang:
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. CoRR abs/1802.06265 (2018) - Adarsh Barik, Jean Honorio:
Information Theoretic Limits for Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. CoRR abs/1811.06635 (2018) - 2017
- Sangjun Park, Nam Yul Yu, Heung-No Lee:
An Information-Theoretic Study for Joint Sparsity Pattern Recovery With Different Sensing Matrices. IEEE Trans. Inf. Theory 63(9): 5559-5571 (2017) - Oren Solomon, Maor Mutzafi, Mordechai Segev, Yonina C. Eldar:
Sparsity based super-resolution optical imaging using correlation information. ICASSP 2017: 6215-6219 - Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang:
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. ICDM 2017: 1039-1044 - Adarsh Barik, Jean Honorio, Mohit Tawarmalani:
Information theoretic limits for linear prediction with graph-structured sparsity. ISIT 2017: 2348-2352 - Adarsh Barik, Jean Honorio, Mohit Tawarmalani:
Information Theoretic Limits for Linear Prediction with Graph-Structured Sparsity. CoRR abs/1701.07895 (2017) - Di Chen, Zhongyuan Zhao, Zhendong Mao, Mugen Peng:
Channel Matrix Sparsity with Imperfect Channel State Information in Cloud-Radio Access Networks. CoRR abs/1709.08377 (2017) - 2016
- Jianwei Niu, Lei Wang, Xiting Liu, Shui Yu:
FUIR: Fusing user and item information to deal with data sparsity by using side information in recommendation systems. J. Netw. Comput. Appl. 70: 41-50 (2016) - An Liu, Vincent K. N. Lau, Wei Dai:
Exploiting Burst-Sparsity in Massive MIMO With Partial Channel Support Information. IEEE Trans. Wirel. Commun. 15(11): 7820-7830 (2016) - Octavia I. Camps, Constantino Lagoa, Mario Sznaier:
The role of sparsity and dynamics in extracting information sparsely encoded in very large data sets. CCA 2016: 398-409 - Xiaowei Zhang, Tao Jiang, Yingsong Li:
2D sparsity-information-aided least mean square algorithm for sparse image de-noising. WCSP 2016: 1-5
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