Bridging deep and multiple kernel learning: A review
T Wang, L Zhang, W Hu - Information Fusion, 2021 - Elsevier
Kernel methods and deep learning are two of the most currently remarkable machine
learning techniques that have achieved great success in many applications. Kernel methods …
learning techniques that have achieved great success in many applications. Kernel methods …
Classification vs regression in overparameterized regimes: Does the loss function matter?
V Muthukumar, A Narang, V Subramanian… - Journal of Machine …, 2021 - jmlr.org
We compare classification and regression tasks in an overparameterized linear model with
Gaussian features. On the one hand, we show that with sufficient overparameterization all …
Gaussian features. On the one hand, we show that with sufficient overparameterization all …
[HTML][HTML] Identification of flying insects in the spatial, spectral, and time domains with focus on mosquito imaging
Y Sun, Y Lin, G Zhao, S Svanberg - Sensors, 2021 - mdpi.com
Insects constitute a very important part of the global ecosystem and include pollinators,
disease vectors, and agricultural pests, all with pivotal influence on society. Monitoring and …
disease vectors, and agricultural pests, all with pivotal influence on society. Monitoring and …
Robust visual tracking algorithm with coattention guided Siamese network
J Dai, J Jiang, S Wang, Y Chang - Journal of Electronic …, 2022 - spiedigitallibrary.org
In recent years, Siamese trackers locate the target based on the cross-correlation results of
the template and the search branch. Siamese trackers emphasized better features …
the template and the search branch. Siamese trackers emphasized better features …