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Deep CNNs for peripheral blood cell classification
The application of machine learning techniques to the medical domain is especially
challenging due to the required level of precision and the incurrence of huge risks of minute …
challenging due to the required level of precision and the incurrence of huge risks of minute …
Person-action instance search in story videos: An experimental study
Person-Action instance search (PA INS) aims to retrieve the instances of a specific person
doing a specific action, which appears in the 2019–2021 INS tasks of the world-famous …
doing a specific action, which appears in the 2019–2021 INS tasks of the world-famous …
BM25 with exponential IDF for instance search
This paper deals with a novel concept of an exponential IDF in the BM25 formulation and
compares the search accuracy with that of the BM25 with the original IDF in a content-based …
compares the search accuracy with that of the BM25 with the original IDF in a content-based …
Large-scale query-by-image video retrieval using bloom filters
We consider the problem of using image queries to retrieve videos from a database. Our
focus is on large-scale applications, where it is infeasible to index each database video …
focus is on large-scale applications, where it is infeasible to index each database video …
Topological spatial verification for instance search
This paper proposes an elastic spatial verification method for Instance Search, particularly
for dealing with non-planar and non-rigid queries exhibiting complex spatial transformations …
for dealing with non-planar and non-rigid queries exhibiting complex spatial transformations …
Irim at TRECVID 2014: Semantic indexing and instance search
The IRIM group is a consortium of French teams supported by the GDR ISIS and working on
Multimedia Indexing and Retrieval. This paper describes its participation to the TRECVID …
Multimedia Indexing and Retrieval. This paper describes its participation to the TRECVID …
Automatic analysis of online image data for law enforcement agencies by concept detection and instance search
The information available on-line and off-line, from open as well as from private sources, is
growing at an exponential rate and places an increasing demand on the limited resources of …
growing at an exponential rate and places an increasing demand on the limited resources of …
Who, What and Where: Composite-semantic Instance Search for Story Videos
This paper studies Who-What-Where (3W) composite-semantic video instance search (INS)
problem, which aims to find a specific person doing a queried action in a particular place …
problem, which aims to find a specific person doing a queried action in a particular place …
A spatio-temporal identity verification method for person-action instance search in movies
As one of the challenging problems in video search, Person-Action Instance Search (PA
INS) aims to retrieve shots with a specific person carrying out a specific action from massive …
INS) aims to retrieve shots with a specific person carrying out a specific action from massive …
The UAV Feasibility Trajectory Prediction Using Convolution Neural Networks
A Marque, D Delahaye, P Maréchal… - International Journal of …, 2024 - enac.hal.science
Wind direction and uncertainty are crucial in aircraft or unmanned aerial vehicle trajectories.
By computing wind covariance matrices on each spatial grid point, these spatial grids can be …
By computing wind covariance matrices on each spatial grid point, these spatial grids can be …