Results 21 to 30 of about 635,069 (331)
Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings [PDF]
Query-by-example search often uses dynamic time warping (DTW) for comparing queries and proposed matching segments. Recent work has shown that comparing speech segments by representing them as fixed-dimensional vectors --- acoustic word embeddings ...
Shane Settle+3 more
semanticscholar +1 more source
The large amount of information stored in audio and video repositories makes search on speech (SoS) a challenging area that is continuously receiving much interest.
Javier Tejedor+4 more
doaj +1 more source
Learning Acoustic Word Embeddings With Dynamic Time Warping Triplet Networks
In the last years, acoustic word embeddings (AWEs) have gained significant interest in the research community. It applies specifically to the application of acoustic embeddings in the Query-by-Example Spoken Term Detection (QbE-STD) search and related ...
Denis Shitov+3 more
doaj +1 more source
Query by Example in Remote Sensing Image Archive Using Enhanced Deep Support Vector Data Description
This article studies remote sensing image retrieval using kernel-based support vector data description (SVDD). We exploit deep SVDD, which is a well-known method for one-class classification to recover the most relevant samples from the archive.
Omid Ghozatlou+2 more
doaj +1 more source
Research on data query and application of obstacle dataset based on spatio-temporal data model
The obstacle dataset is a kind of aeronautical information dataset based on the aeronautical information exchange model (AIXM) specification proposed by International Civil Aviation Organization (ICAO) under the aviation intelligence management(AIM ...
LAI Xin, LIANG Changsheng, ZHU Meiling
doaj +1 more source
An Introduction to the Patstat Database with Example Queries [PDF]
AbstractThis article provides an introduction to the Patstat patent database. It offers guided examples of 10 popular queries that are relevant for research purposes and that cover the most important data tables. It is targeted at academic researchers and practitioners who are willing to learn the basics of the database.
Gaétan de Rassenfosse+2 more
openaire +6 more sources
CNN Based Query by Example Spoken Term Detection
In this work, we address the problem of query by example spoken term detection (QbE-STD) in zero-resource scenario. State of the art solutions usually rely on dynamic time warping (DTW) based template matching.
Dhananjay Ram+2 more
semanticscholar +1 more source
Partial-sum queries in OLAP data cubes using covering codes [PDF]
A partial-sum query obtains the summation over a set of specified cells of a data cube. We establish a connection between the covering problem in the theory of error-correcting codes and the partial-sum problem and use this connection to devise ...
Ching-tien Ho+4 more
core +3 more sources
Separations in Query Complexity Based on Pointer Functions [PDF]
In 1986, Saks and Wigderson conjectured that the largest separation between deterministic and zero-error randomized query complexity for a total boolean function is given by the function $f$ on $n=2^k$ bits defined by a complete binary tree of NAND gates
Ambainis, Andris+5 more
core +3 more sources
The huge amount of information stored in audio and video repositories makes search on speech (SoS) a priority area nowadays. Within SoS, Query-by-Example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given a spoken query.
Javier Tejedor+6 more
doaj +1 more source