Results 71 to 80 of about 178,877 (269)
Unsupervised spectral learning
CoRR, 2012 In spectral clustering and spectral image segmentation, the data is partioned starting from a given matrix of pairwise similarities S. the matrix S is constructed by hand, or learned on a separate training set. In this paper we show how to achieve spectral clustering in unsupervised mode.
Susan M. Shortreed, Marina Meila
openaire +3 more sources
Advanced Functional Materials, EarlyView.Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Unsupervised Optical-Sensor Extrinsic Calibration via Dual-Transformer Alignment
SensorsAccurate extrinsic calibration between optical sensors, such as camera and LiDAR, is crucial for multimodal perception. Traditional methods based on specific calibration targets exhibit poor robustness in complex optical environments such as glare ...
Yuhao Wang +5 more
doaj +1 more source
Medicina, 2020 Background and objectives: Performing physical exercise after a colorectal cancer diagnosis is associated with lower mortality related to the tumor itself.
Gabriele Mascherini +7 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim +9 more
wiley +1 more source
Unsupervised Classification of Opinions
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016 Opinion mining is gaining more interest thanks to the ever growing data available on the internet. This work proposes an unsupervised approach that clusters opinions in fine grain ranges. The approach is able to generate its own seed words for better applicability to the context and eliminating user input.
Vlad Vasile Itu +2 more
openaire +1 more source
Advanced Healthcare Materials, EarlyView.We measure the cell‐specific responses of administering infusible ECM (iECM) in acute myocardial infarction (MI) across multiple timepoints. Using single‐nucleus RNA sequencing and spatial transcriptomics, we measure macrophage activation, fibroblast remodeling, increased vascular development, lymphangiogenesis, cardioprotection, and neurogenesis ...
Joshua M. Mesfin +18 more
wiley +1 more source
Beyond the Norm: Unsupervised Anomaly Detection in Telecommunications with Mahalanobis Distance
ComputersAnomaly Detection (AD) in telecommunication networks is critical for maintaining service reliability and performance. However, operational networks present significant challenges: high-dimensional Key Performance Indicator (KPI) data collected from ...
Aline Mefleh +4 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.Human periosteum‐derived cell spheroids bioprinted at high density within a hyaluronic acid matrix promote fusion and hypertrophic cartilage formation in vitro. Early encapsulation enhances spheroid interaction and matrix maturation, generating scalable cartilage templates intended for endochondral bone regeneration.
Ane Albillos Sanchez +6 more
wiley +1 more source
Towards Robust Hyperspectral Target Detection via Test-Time Spectrum Adaptation
Remote SensingTarget detection is a cornerstone task in hyperspectral image processing but faces significant challenges due to domain gaps. While statistical detectors like Constrained Energy Minimization (CEM) and Adaptive Cosine Estimator (ACE) are not prone to ...
Robin Gerster, Peter Stütz
doaj +1 more source