Results 1 to 10 of about 3,622,651 (382)

The white matter query language: a novel approach for describing human white matter anatomy. [PDF]

Brain Struct Funct, 2016
We have developed a novel method to describe human white matter anatomy using an approach that is both intuitive and simple to use, and which automatically extracts white matter tracts from diffusion MRI volumes.
Wassermann D, Makris N, Rathi Y, Shenton M, Kikinis R, Kubicki M, Westin CF.   +6 more
europepmc   +3 more sources

TALL: Temporal Activity Localization via Language Query [PDF]

IEEE International Conference on Computer Vision, 2017
This paper focuses on temporal localization of actions in untrimmed videos. Existing methods typically train classifiers for a pre-defined list of actions and apply them in a sliding window fashion.
Gao, Jiyang, Nevatia, Ram, Sun, Chen, Yang, Zhenheng   +3 more
core   +2 more sources

Context Definition and Query Language: Conceptual Specification, Implementation, and Evaluation [PDF]

Sensors, 2019
As IoT grows at a staggering pace, the need for contextual intelligence is a fundamental and critical factor for IoT intelligence, efficiency, effectiveness, performance, and sustainability.
Alireza Hassani, Alexey Medvedev, Pari Delir Haghighi, Sea Ling, Arkady Zaslavsky, Prem Prakash Jayaraman   +5 more
doaj   +2 more sources

Visualization Environment for Federated Knowledge Graphs: Development of an Interactive Biomedical Query Language and Web Application Interface

JMIR Medical Informatics, 2020
BackgroundEfforts are underway to semantically integrate large biomedical knowledge graphs using common upper-level ontologies to federate graph-oriented application programming interfaces (APIs) to the data. However, federation poses several challenges,
Cox, Steven, Ahalt, Stanley C, Balhoff, James, Bizon, Chris, Fecho, Karamarie, Kebede, Yaphet, Morton, Kenneth, Tropsha, Alexander, Wang, Patrick, Xu, Hao   +9 more
doaj   +2 more sources

Towards a query language for annotation graphs [PDF]

, 2000
The multidimensional, heterogeneous, and temporal nature of speech databases raises interesting challenges for representation and query. Recently, annotation graphs have been proposed as a general-purpose representational framework for speech databases ...
Bird, Steven, Buneman, Peter, Tan, Wang-Chiew   +2 more
core   +8 more sources

APQL: A process-model query language [PDF]

Asia Pacific Business Process Management, 2013
As business process management technology matures, organisations acquire more and more business process models. The management of the resulting collections of process models poses real challenges.
La Rosa, Marcello, Ouyang, Chun, Polyvyanyy, Artem, Song, Liang, ter Hofstede, Arthur, Wang, Jianmin   +5 more
core   +5 more sources

InstructSee: Instruction-Aware and Feedback-Driven Multimodal Retrieval with Dynamic Query Generation [PDF]

Sensors
In recent years, cross-modal retrieval has garnered significant attention due to its potential to bridge heterogeneous data modalities, particularly in aligning visual content with natural language.
Guihe Gu, Yuan Xue, Zhengqian Wu, Lin Song, Chao Liang   +4 more
doaj   +2 more sources

Query Rewriting for Retrieval-Augmented Large Language Models [PDF]

arXiv.org, 2023
Large Language Models (LLMs) play powerful, black-box readers in the retrieve-then-read pipeline, making remarkable progress in knowledge-intensive tasks.
Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan   +4 more
semanticscholar   +1 more source

Query2doc: Query Expansion with Large Language Models [PDF]

Conference on Empirical Methods in Natural Language Processing, 2023
This paper introduces a simple yet effective query expansion approach, denoted as query2doc, to improve both sparse and dense retrieval systems. The proposed method first generates pseudo-documents by few-shot prompting large language models (LLMs), and ...
Liang Wang, Nan Yang, Furu Wei
semanticscholar   +1 more source

Prompting Is Programming: A Query Language for Large Language Models [PDF]

Proc. ACM Program. Lang., 2022
Large language models have demonstrated outstanding performance on a wide range of tasks such as question answering and code generation. On a high level, given an input, a language model can be used to automatically complete the sequence in a ...
Luca Beurer-Kellner, Marc Fischer, Martin T. Vechev   +2 more
semanticscholar   +1 more source