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The role of learning, acoustic similarity and phylogenetic relatedness in the recognition of distress calls in birds
(2021-05)
Many groups of vertebrates produce distress calls when attacked by predators as a last attempt to survive. However, few studies investigate whether recognition of distress calls involves learning or acoustic similarity to ...
Acoustic variability among male gladiator frogs, Boana goiana (Lutz, 1968) (Anura: Hylidae): an 18-year analysis across several reproductive seasons
(Brill, 2021-01-01)
Male anurans emit different call types in specific social contexts. Such calls represent a communication pathway for species recognition, mate choice, and male-male competition mediation. The acoustic parameters of these ...
Individual and sex distinctiveness in bark calls of domestic chinchillas elicited in a distress context
(Acoustical Soc. Amer., 2015)
Animals obtain information about their social environment by means of communication signals,
which provide relevant subtle cues for individual recognition. An important requisite for this process
is the existence of ...
NESTLING CALL MODIFICATION DURING EARLY DEVELOPMENT IN A COLONIAL PASSERINE
(A B Academic PublBicesterInglaterra, 2010)
A Convolution Neural Network Engine for Sclera Recognition
The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ...
On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification
(Springer, 2016-01-01)
Tensor-based representations have been widely pursued in the last years due to the increasing number of high-dimensional datasets, which might be better described by the multilinear algebra. In this paper, we introduced a ...
Real Time Facial Expression Recognition Using Webcam and SDK Affectiva
Facial expression is an essential part of communication. For this reason, the issue of human emotions evaluation using a computer is a very interesting topic, which has gained more and more attention in recent years. It ...
Learning algorithm for the recursive pattern recognition model
(Applied Artificial IntelligenceInglaterra, 2016-10-28)
In this work, we incorporate a learning algorithm to the recursive pattern recognition model, based on the systematic functioning of the human neocortex presented in previous works. This algorithm has two mechanisms: the ...
Learning algorithm for the recursive pattern recognition model
(Applied Artificial IntelligenceInglaterra, 2016-10-28)
In this work, we incorporate a learning algorithm to the recursive pattern recognition model, based on the systematic functioning of the human neocortex presented in previous works. This algorithm has two mechanisms: the ...