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Video Activity Recognition: State-of-the-Art
(MDPI, 2019-07-18)
Video activity recognition, although being an emerging task, has been the subject of important research efforts due to the importance of its everyday applications. Surveillance by video cameras could benefit greatly by ...
Using Common Spatial Patterns to Select Relevant Pixels for Video Activity Recognition
(MDPI, 2020-11-14)
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Using Common Spatial Patterns to Select Relevant Pixels for Video Activity Recognition
by Itsaso Rodríguez-Moreno
* [OrcID] , José María Martínez-Otzeta
[OrcID] , Basilio ...
RANSAC for Robotic Applications: A Survey
(2022-12-28)
Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers. In its simplest form, the process starts with a ...
HAKA: HierArchical Knowledge Acquisition in a sign language tutor
(Elsevier, 2023-04)
Communication between people from different communities can sometimes be hampered by the lack of knowledge of each other's language. A large number of people needs to learn a language in order to ensure a fluid communication ...
On the Use of a Low-Cost Thermal Sensor to Improve Kinect People Detection in a Mobile Robot
(MDPI, 2013-10-29)
Detecting people is a key capability for robots that operate in populated environments. In this paper, we have adopted a hierarchical approach that combines classifiers created using supervised learning in order to identify ...
Towards the Use of Similarity Distances to Music Genre Classification: a Comparative Study
(Public Library Science, 2018-02-14)
Music genre classification is a challenging research concept, for which open questions remain regarding classification approach, music piece representation, distances between/within genres, and so on. In this paper an ...
ORdensity: user-friendly R package to identify differentially expressed genes
(BCM, 2020-04-07)
Background Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may ...
Dynamic selection of the best base classifier in one versus one
(Elsevier, 2015-05-19)
Class binarization strategies decompose the original multi-class problem into several binary sub-problems. One versus One (OVO) is one of the most popular class binarization techniques, which considers every pair of classes ...