Results 71 to 80 of about 49,736 (243)
Convolutional Subspace Clustering Network With Block Diagonal Prior
IEEE Access, 2020 Standard methods of subspace clustering are based on self-expressiveness in the original data space, which states that a data point in a subspace can be expressed as a linear combination of other points. However, the real data in raw form are usually not
Junjian Zhang +4 more
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The Annals of Statistics, 2014 Subspace clustering refers to the task of finding a multi-subspace representation that best fits a collection of points taken from a high-dimensional space. This paper introduces an algorithm inspired by sparse subspace clustering (SSC) [In IEEE Conference on Computer Vision and Pattern Recognition, CVPR (2009) 2790-2797] to cluster noisy data, and ...
Soltanolkotabi, Mahdi +2 more
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Discriminative Subspace Clustering [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 We present a novel method for clustering data drawn from a union of arbitrary dimensional subspaces, called Discriminative Subspace Clustering (DiSC). DiSC solves the subspace clustering problem by using a quadratic classifier trained from unlabeled data (clustering by classification).
Vasileios Zografos +2 more
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Advanced Science, EarlyView.TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
Fusion and Enhancement of Consensus Matrix for Multi-View Subspace Clustering
Mathematics, 2023 Multi-view subspace clustering is an effective method that has been successfully applied to many applications and has attracted the attention of scholars.
Xiuqin Deng, Yifei Zhang, Fangqing Gu
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Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Advanced Electronic Materials, EarlyView.Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Impact Parameter Analysis of Subspace Clustering
International Journal of Distributed Sensor Networks, 2015 Subspace clustering, which detects all clusters in affine subspaces of a given high dimensional vector space, is used in various applications, including e-business.
Dongjin Lee, Junho Shim
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Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
Advanced Electronic Materials, EarlyView.This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Noisy Sparse Subspace Clustering
, 2013 Manuscript currently under review at journal of machine learning research.
Wang, Yu-Xiang, Xu, Huan
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Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries
Advanced Energy Materials, EarlyView.This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher +10 more
wiley +1 more source