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sentence embedding is a representation of a sentence as a vector of numbers which encodes meaningful semantic information. State of the art embeddings are
Vectors of Locally Aggregated Descriptors (VLAD) have emerged as powerful image/video representations that compete with or even outperform state-of-the-art approaches on many challenging visual recognition tasks. In this paper, we address two fundame...
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42 images of twitter icon. You can use these free icons and png images for your photoshop design, documents, web sites, art projects or google presentations, powerpoint templates.
This project is a Deep Learning-based Medical Imaging Platform designed to assist clinicians and researchers in analyzing wound images. It combines state-of-the-art Convolutional Neural Networks (CNNs) for multi-class classification with Vector Similarity Sear…
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We introduce COMBO - a fully neural NLP system for accurate part-of-speech tagging, morphological analysis, lemmatisation, and (enhanced) dependency parsing. It predicts categorical morphosyntactic features whilst also exposes their vector representa...
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Multi-vector late-interaction retrievers such as ColBERT achieve state-of-the-art retrieval quality, but their query-time cost is dominated by exhaustively computing token-level MaxSim interactions for every candidate document. While approximating la...
state-of-the-art search over vector embeddings and structured data (SIGMOD '24) (⭐ 104)
In this survey of the Andersen-Lempert theory we present the state of the art in the study of the density property (which means that the Lie algebra generated by completely integrable holomorphic vector fields on a given Stein manifold is dense in th...
Time series classification holds broad application value in communications, information countermeasures, finance, and medicine. However, state-of-the-art (SOTA) methods-including HIVE-COTE, Proximity Forest, and TS-CHIEF-exhibit high computational co...
Conditional random field (CRF) and Structural Support Vector Machine (Structural SVM) are two state-of-the-art methods for structured prediction which captures the interdependencies among output variables. The success of these methods is attributed t...
In this paper, we propose a novel method for the prior-art search task. We fine-tune SciBERT transformer model using Triplet Network approach, allowing us to represent each patent with a fixed-size vector. This also enables us to conduct efficient ve...
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GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats. (⭐ 5790)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more (⭐ 35010)