Browsing by Author "Raitoharju J."
Now showing items 1-5 of 5
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Benchmark database for fine-grained image classification of benthic macroinvertebrates
Raitoharju J.; Riabchenko E.; Ahmad I.; Iosifidis A.; Gabbouj M.; Kiranyaz S.; Tirronen V.; Ärje J.; Kärkkäinen S.; Meissner K.... more authors ... less authors ( Elsevier Ltd , 2018 , Article)Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and ... -
Feature synthesis for image classification and retrieval via one-against-all perceptrons
Raitoharju J.; Kiranyaz S.; Gabbouj M. ( Springer London , 2018 , Article)Most existing content-based image retrieval and classification systems rely on low-level features which are automatically extracted from images. However, often these features lack the discrimination power needed for accurate ... -
Human experts vs. machines in taxa recognition
Arje J.; Raitoharju J.; Iosifidis A.; Tirronen V.; Meissner K.; Gabbouj M.; Kiranyaz, Mustafa Serkan; Karkkainen S.... more authors ... less authors ( Elsevier B.V. , 2020 , Article)The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards ... -
Particle swarm clustering fitness evaluation with computational centroids
Raitoharju J.; Samiee K.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Elsevier B.V. , 2017 , Article)In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ... -
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer
Soltanian M.; Malik J.; Raitoharju J.; Iosifidis A.; Kiranyaz, Mustafa Serkan; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ...