Latest posts tagged with #DimensionalityReduction on Bluesky
别再滥用 ClickHouse 了！单机每秒狂刷 1800 万条数据，拆解 Go+DuckDB 的“微型数仓”降维打击 本文永久链接 – https://tonybai.com/2026/03/13/go-duckdb-micro-data-wa
#技术志 #AppenderAPI #ArchitectureRefactoring #BusinessReporting #ClickHouse #ColumnOriented #DataAnalytics #Database #DataStorage […]
[Original post on tonybai.com]
Topological Autoencoders++ Improves Cycle‑Aware Dimensionality Reduction
TopoAE++ adds cascade distortion loss to preserve cyclic structures and offers a fast planar persistent homology algorithm; the C++ code is on GitHub (Oct 3 2025). Read more: getnews.me/topological-autoencoders... #topology #dimensionalityreduction
Multi-Scale Geometric Autoencoder Improves Latent Space Structure
Researchers presented a Multi‑Scale Geometric Autoencoder that preserves global and local geometry, delivering better reconstruction and clearer clusters on Swiss‑roll and S‑curve data. getnews.me/multi-scale-geometric-au... #ml #dimensionalityreduction
Tensor Trace Ratio Method Boosts Multidimensional Reduction
A tensor‑based Trace Ratio framework extends LDA to higher‑order data, enabling dimensionality reduction without flattening. Submitted 18 September 2025. Read more: getnews.me/tensor-trace-ratio-metho... #tensor #dimensionalityreduction
Dimensionality Reduction Improves Word Embeddings for Tabular Classification
PCA and shrinkage‑enhanced LDA reduced the 300‑dimensional job embedding, improving top‑10 accuracy in the Engineers' Salary Prediction Challenge. getnews.me/dimensionality-reduction... #dimensionalityreduction #tabularml
Key feature is that we model the log-correlation matrix, for which block structures are preserved.
This leads to a natural linear factor model for dynamic correlations, where additional information from realized measures are easy to incorporate.
#FactorModels #DimensionalityReduction
Poster: A #DeepLearning Approach to #DimensionalityReduction of #SpectralIndices for Scalable #EarthSystem Analysis
16 talented participants explored exciting frontiers at the intersection of neuroscience and AI. This year’s focus: dimensionality reduction and understanding high-dimensional data through dynamical systems. #DimensionalityReduction #DataScience
An excellent article on UMAP ! 🖼️ rdcu.be/d0YZT
Please keep in mind that, UMAP does not preserve global topology of the data. Thus, using UMAP embeddings as direct inputs for trajectory inference methods can lead to inaccurate results.
#scRNAseq #pseudotime #UMAP #DimensionalityReduction
Optimizing UI Element Order Doubles Performance of LM Agents in Virtual Environments 🚀💻📊 www.azoai.com/news/2024092... #AI #LanguageModels #UIOptimization #VirtualEnvironments #AgentPerformance #PixelOnly #DimensionalityReduction #ObjectDetection #TechInnovation #OmniACT @arxiv-stat-ml.bsky.social
