Summary of A Greedy Strategy For Graph Cut, by Feiping Nie et al.
A Greedy Strategy for Graph Cutby Feiping Nie, Shenfei Pei, Zengwei Zheng, Rong Wang, Xuelong…
Summary of Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion, by Liang Du et al.
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportionby Liang Du, Henghui Jiang,…
Summary of Linear Programming Based Approximation to Individually Fair K-clustering with Outliers, by Binita Maity et al.
Linear Programming based Approximation to Individually Fair k-Clustering with Outliersby Binita Maity, Shrutimoy Das, Anirban…
Summary of Analysing Public Transport User Sentiment on Low Resource Multilingual Data, by Rozina L. Myoya et al.
Analysing Public Transport User Sentiment on Low Resource Multilingual Databy Rozina L. Myoya, Vukosi Marivate,…
Summary of Skim: Any-bit Quantization Pushing the Limits Of Post-training Quantization, by Runsheng Bai et al.
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantizationby Runsheng Bai, Bo Liu, Qiang LiuFirst…
Summary of Enhancing Clip Conceptual Embedding Through Knowledge Distillation, by Kuei-chun Kao
Enhancing CLIP Conceptual Embedding through Knowledge Distillationby Kuei-Chun KaoFirst submitted to arxiv on: 4 Dec…
Summary of On Simplifying Large-scale Spatial Vectors: Fast, Memory-efficient, and Cost-predictable K-means, by Yushuai Ji et al.
On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-meansby Yushuai Ji, Zepeng Liu, Sheng…
Summary of An Approach Towards Learning K-means-friendly Deep Latent Representation, by Debapriya Roy
An Approach Towards Learning K-means-friendly Deep Latent Representationby Debapriya RoyFirst submitted to arxiv on: 29…
Summary of K-means Derived Unsupervised Feature Selection Using Improved Admm, by Ziheng Sun et al.
K-means Derived Unsupervised Feature Selection using Improved ADMMby Ziheng Sun, Chris Ding, Jicong FanFirst submitted…
Summary of Accelerating Spherical K-means Clustering For Large-scale Sparse Document Data, by Kazuo Aoyama et al.
Accelerating spherical K-means clustering for large-scale sparse document databy Kazuo Aoyama, Kazumi SaitoFirst submitted to…