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Simultaneous Nearest Neighbor Search [PDF]

open access: yes, 2016
Motivated by applications in computer vision and databases, we introduce and study the Simultaneous Nearest Neighbor Search (SNN) problem. Given a set of data points, the goal of SNN is to design a data structure that, given a collection of queries ...
Indyk, Piotr   +3 more
core   +1 more source

Packed Hydrogel Microfibers as Scaffolds Supporting Dynamic Cellular Behavior and Biomaterial Inks in 3D Printing

open access: yesAdvanced Healthcare Materials, EarlyView.
Packed hydrogel microfiber (PHM) materials consist of flexible and high aspect ratio hydrogel components that, as a bulk material, are simultaneously mechanically robust and dynamic. Cells cultured in or on PHM scaffolds can be influenced by topographical cues or interact with a dynamic environment that permits cell spreading and multicellular ...
M. Gregory Grewal   +7 more
wiley   +1 more source

Optimizing Matrix-Vector Operations With CGLA for High-Performance Approximate k-NN Search

open access: yesIEEE Access
In this paper, we propose a novel approach to accelerating approximate k-nearest neighbor (k-NN) search-a crucial operation in modern vector databases such as OpenSearch, ElasticSearch, Pinecone, and Milvus.
Dohyun Kim, Yasuhiko Nakashima
doaj   +1 more source

Fast and accurate manifold learning using approximate nearest neighbor search [PDF]

open access: yes
openDataset embedding and visualization are crucial tasks in machine learning as they allow to gather information about the data that can be leveraged to design downstream systems. UMAP is a commonly used dimensionality reduction algorithm because of its
FOTI, GIOVANNI
core  

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

open access: yesAdvanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil   +14 more
wiley   +1 more source

Efficient Approximate Nearest Neighbor Search on a Raspberry Pi

open access: yesProceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Approximate Nearest Neighbors (ANN) search is a core task in Information Retrieval. However, the high computational demands and reliance on expensive infrastructures limit broader contributions to ANN research. Enabling efficient and effective ANN search on low-resource devices would allow researchers in low-income countries to participate in the ANN ...
Silvio Martinico   +3 more
openaire   +2 more sources

Direct Synthesis of High‐Valence Protein@UiO‐66 Composites: Linking Crystallization Pathways to Protein Encapsulation

open access: yesAdvanced Materials, EarlyView.
This work reports a direct, biocompatible method to synthesize UiO‐66, enabling one‐step encapsulation of proteins without compromising crystallinity or activity. Using advanced in situ and ex situ techniques, the study reveals that proteins integrate concurrently with MOF growth, forming crystalline protein@UiO‐66 nanoparticles, and provide insight ...
Jesús Cases Díaz   +5 more
wiley   +1 more source

P-HNSW: Crash-Consistent HNSW for Vector Databases on Persistent Memory

open access: yesApplied Sciences
The rapid growth of Large Language Models (LLMs) has generated massive amounts of high-dimensional feature vectors extracted from diverse datasets. Efficient storage and retrieval of such data are critical for enabling accurate and fast query responses ...
Haena Lee   +3 more
doaj   +1 more source

Semi-supervised hash learning method with consistency-based dimensionality reduction

open access: yesAdvances in Mechanical Engineering, 2019
With the explosive growth of surveillance data, exact match queries become much more difficult for its high dimension and high volume. Owing to its good balance between the retrieval performance and the computational cost, hash learning technique is ...
Fang Lv   +3 more
doaj   +1 more source

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