Results 131 to 140 of about 46,215 (298)
Data Cleaning and Outlier Removal: Application in Human Skin Detection
, 2014 An outlier removal based data cleaning technique is proposed toclean manually pre-segmented human skin data in colour images.The 3-dimensional colour data is projected onto three 2-dimensionalplanes, from which outliers are removed.
Bouridane, A. +8 more
core +1 more source
Composition of nested embeddings with an application to outlier removal
We study the design of embeddings into Euclidean space with outliers. Given a metric space $(X,d)$ and an integer $k$, the goal is to embed all but $k$ points in $X$ (called the ``outliers") into $\ell_2$ with the smallest possible distortion $c$. Finding the optimal distortion $c$ for a given outlier set size $k$, or alternately the smallest $k$ for a
Shuchi Chawla 0001, Kristin Sheridan
openaire +2 more sources
Inverse Design of Amorphous Materials With Targeted Properties
Advanced Materials, EarlyView.AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source
ANALISIS SISTEM DETEKSI ANOMALI TRAFIK MENGGUNAKAN ALGORITMA CLUSTERING CURE (CLUSTERING USING REPRESENTATIVES) DENGAN OUTLIER REMOVAL CLUSTERING DALAM MENANGANI OUTLIER [PDF]
, 2015 Perkembangan pesat teknologi dan informasi khusunya internet sekarang ini memicu munculnya fenomena-fenomena anomali trafik (serangan) atapun ancaman terhadap sebuah komputer atau server.
MUHAMMAD AGUNG TRI LAKSONO
core
Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction
, 2016 Wolff K, Kim C, Zimmer H, et al. Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction. In: Proceedings of International Conference on 3D Vision.
Katja Wolff +13 more
core +1 more source
GraphDBSCAN: Optimized DBSCAN for Noise-Resistant Community Detection in Graph Clustering
Future InternetCommunity detection in complex networks remains a significant challenge due to noise, outliers, and the dependency on predefined clustering parameters.
Danial Ahmadzadeh +3 more
doaj +1 more source
Advanced Materials, EarlyView.We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Ultra‐High‐Throughput Discovery of Multifunctional Polyphenolic Coatings on Droplet Microarrays
Advanced Materials, EarlyView.An ultra‐high‐throughput (UHT) combinatorial strategy enables the miniaturized synthesis and screening of ≈30 000 polyamine‐polyphenolic (PaPp) coatings using droplet microarrays (DMA). This approach reveals hundreds of previously unknown fluorescent, redox‐active, and antibacterial materials, including multifunctional, cell‐compatible surfaces ...
Vania Tanda Widyaya +11 more
wiley +1 more source
, 2014 Flowchart of papers in the set of papers that stated outlier removal (left) and the set of papers that did not report any removal of outliers (right).
Marjan Bakker (198341) +1 more
core +1 more source
, 2014 A comparison of the quality and strength of evidence of studies that removed outliers and those who did not remove ...
Jelte Wicherts, Marjan Bakker
core +1 more source