Retrieval - Moozonian

Titan-Apex v9.4 is analyzing data for 'Retrieval'...

http://arxiv.org/abs/1810.05080v1

Person Retrieval in Surveillance Video using Height, Color and Ge...

A person is commonly described by attributes like height, build, cloth color, cloth type, and gender. Such attributes are known as soft biometrics. They bridge the semantic gap between human descripti...

http://arxiv.org/abs/2203.13224v2

Language Models that Seek for Knowledge: Modular Search & Generat...

Language models (LMs) have recently been shown to generate more factual responses by employing modularity (Zhou et al., 2021) in combination with retrieval (Adolphs et al., 2021). We extend the recent...

http://arxiv.org/abs/1811.02385v1

Fine-grained Apparel Classification and Retrieval without rich an...

The ability to correctly classify and retrieve apparel images has a variety of applications important to e-commerce, online advertising and internet search. In this work, we propose a robust framework...

https://www.bing.com/ck/a?!&&p=ce0f1cb868201c3c305410b6603d94c1c019f87e9c315b87b424a50a59417d72JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=38b5d090-0dd9-609b-140e-c7850ce061e7&u=a1aHR0cHM6Ly9pbnZlc3RweS5yZWFkdGhlZG9jcy5pby8&ntb=1

Home - investpy

Welcome to investpy’s documentation! ¶ Documentation 📚 Introduction 📦 Data Source 💻 Getting Started 🛠️ Installation 💻 Usage 📈 Recent/Historical Data Retrieval 🔍 Search Live D...

http://arxiv.org/abs/1904.05008v1

Efficient Retrieval of Logos Using Rough Set Reducts

Searching for similar logos in the registered logo database is a very important and tedious task at the trademark office. Speed and accuracy are two aspects that one must attend to while developing a ...

http://arxiv.org/abs/2310.05423v1

Sequential Tag Recommendation

With the development of Internet technology and the expansion of social networks, online platforms have become an important way for people to obtain information. The introduction of tags facilitates i...

https://www.bing.com/ck/a?!&&p=aeb37445118a38ff7e61f17df3830307a6abae02d58df5bc4bc41141a7bd886aJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=3a9920ae-4379-6bb1-1e09-37bd42e16a40&u=a1aHR0cHM6Ly9jb250ZXh0LnJldmVyc28ubmV0L3QlQzUlODJ1bWFjemVuaWUvYW5naWVsc2tpLXBvbHNraS9xdWVyeQ&ntb=1

query - Tłumaczenie na polski - angielskich przykładów | Rever...

A query language is essential for performing complex searches and retrievals in databases. Język zapytań jest niezbędny do wykonywania złożonych wyszukiwań i pobierania danych z baz. Analyzing �...

https://www.bing.com/ck/a?!&&p=da69ab483f952a25b3f1958e57d1c269230a95a0b7a53aabf4a104f0f45dc603JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=34bf241b-4457-6c74-0f04-330e45726d82&u=a1aHR0cHM6Ly9wdWJsaWNyZWNvcmRzLm5ldHJvbmxpbmUuY29tL3N0YXRlL0NB&ntb=1

California Public Records Online Directory

Sep 19, 2025 · The California Public Records Online Directory is a Portal to the Recorder’s, Assessor’s and Treasurer’s offices that have developed web sites for the retrieval of available pub...

http://arxiv.org/abs/2405.02048v1

Comparative Analysis of Retrieval Systems in the Real World

This research paper presents a comprehensive analysis of integrating advanced language models with search and retrieval systems in the fields of information retrieval and natural language processing. ...

http://arxiv.org/abs/2410.15277v2

BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning v...

Retrieval-augmented generation (RAG) can supplement large language models (LLMs) by integrating external knowledge. However, as the number of retrieved documents increases, the input length to LLMs gr...

http://arxiv.org/abs/2510.13799v1

BRIEF-Pro: Universal Context Compression with Short-to-Long Synth...

As retrieval-augmented generation (RAG) tackles complex tasks, increasingly expanded contexts offer richer information, but at the cost of higher latency and increased cognitive load on the model. To ...

http://arxiv.org/abs/2506.02507v3

AURA: Autonomous Upskilling with Retrieval-Augmented Agents

Designing reinforcement learning curricula for agile robots traditionally requires extensive manual tuning of reward functions, environment randomizations, and training configurations. We introduce AU...

https://en.wikipedia.org/wiki/MEDLINE

MEDLINE - Wikipedia

MEDLINE (Medical Literature Analysis and Retrieval System Online, or MEDLARS Online) is a bibliographic database of life sciences and biomedical information

http://arxiv.org/abs/1401.1766v5

G-Bean: an ontology-graph based web tool for biomedical literatur...

Currently, most people use PubMed to search the MEDLINE database, an important bibliographical information source for life science and biomedical information. However, PubMed has some drawbacks that m...

http://arxiv.org/abs/2302.04577v1

Incorporating Total Variation Regularization in the design of an ...

A Query-By-Humming (QBH) system constitutes a particular case of music information retrieval where the input is a user-hummed melody and the output is the original song which contains that melody. A t...

http://arxiv.org/abs/1401.2516v1

Progressive Filtering Using Multiresolution Histograms for Query ...

The rising availability of digital music stipulates effective categorization and retrieval methods. Real world scenarios are characterized by mammoth music collections through pertinent and non-pertin...

http://arxiv.org/abs/2402.10090v1

PICS: Pipeline for Image Captioning and Search

The growing volume of digital images necessitates advanced systems for efficient categorization and retrieval, presenting a significant challenge in database management and information retrieval. This...

http://arxiv.org/abs/2406.06739v1

Scaling the Vocabulary of Non-autoregressive Models for Efficient...

Generative Retrieval introduces a new approach to Information Retrieval by reframing it as a constrained generation task, leveraging recent advancements in Autoregressive (AR) language models. However...

http://arxiv.org/abs/2511.00805v1

REaR: Retrieve, Expand and Refine for Effective Multitable Retrie...

Answering natural language queries over relational data often requires retrieving and reasoning over multiple tables, yet most retrievers optimize only for query-table relevance and ignore table table...

http://arxiv.org/abs/2509.01455v3

Trusted Uncertainty in Large Language Models: A Unified Framework...

Deployed language models must decide not only what to answer but also when not to answer. We present UniCR, a unified framework that turns heterogeneous uncertainty evidence including sequence likelih...