Results 31 to 40 of about 1,581,096 (371)
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks [PDF]
IEEE International Conference on Computer Vision, 2019 As designing appropriate Convolutional Neural Network (CNN) architecture in the context of a given application usually involves heavy human works or numerous GPU hours, the research community is soliciting the architecture-neutral CNN structures, which ...
Xiaohan Ding +3 more
semanticscholar +1 more source
Horticulture Research, 2019 Cauliflower is an important variety of Brassica oleracea and is planted worldwide. Here, the high-quality genome sequence of cauliflower was reported. The assembled cauliflower genome was 584.60 Mb in size, with a contig N50 of 2.11 Mb, and contained 47 ...
Deling Sun +9 more
doaj +1 more source
An Investigation on Interdependence Between Rainfall and Temperature in Ekpoma, Edo State, Nigeria [PDF]
Iranica Journal of Energy and Environment, 2023 This paper focuses on the interdependence between rainfall and temperature and their joint effect. Rainfall and temperature are vital climatic variables for agricultural productivity and other human activities.
I. U. Siloko, E. A. Siloko
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Kernel Methods for Pattern Analysis
, 2004 Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g.
J. Shawe-Taylor, N. Cristianini
semanticscholar +1 more source
Singular integral operators, a brief historical overview of its evolution
Selecciones Matemáticas, 2022 In this work we give an analytical-historical view of the classical theory of singular integrals introduced by A.P. Calderón-A. Zygmund. Emphasis is given to their applications to PDEs and to some projections of the theory.
Alejandro Ortiz Fernández
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Journal of Medical Signals and Sensors, 2022 Background: The most significant motivations for designing multi-biometric systems are high-accuracy recognition, high-security assurances as well as overcoming the limitations like non-universality, noisy sensor data, and large intra-user variations ...
Mohammad H Safavipour +2 more
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Geometric Inference on Kernel Density Estimates [PDF]
, 2015 We show that geometric inference of a point cloud can be calculated by examining its kernel density estimate with a Gaussian kernel. This allows one to consider kernel density estimates, which are robust to spatial noise, subsampling, and approximate ...
Phillips, Jeff M., Wang, Bei, Zheng, Yan
core +5 more sources
End-to-End Neural Ad-hoc Ranking with Kernel Pooling [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 This paper proposes K-NRM, a kernel based neural model for document ranking. Given a query and a set of documents, K-NRM uses a translation matrix that models word-level similarities via word embeddings, a new kernel-pooling technique that uses kernels ...
Chenyan Xiong +4 more
semanticscholar +1 more source
Advances in Data Science and Adaptive Analysis, 2019 A new method for hierarchical clustering of data points is presented. It combines treelets, a particular multiresolution decomposition of data, with a mapping on a reproducing kernel Hilbert space. The proposed approach, called kernel treelets (KT), uses this mapping to go from a hierarchical clustering over attributes (the natural output of treelets)
Hedi Xia, Hector D. Ceniceros
openaire +3 more sources
Genetic dissection of QTLs for starch content in four maize DH populations
Frontiers in Plant Science, 2022 Starch is the principal carbohydrate source in maize kernels. Understanding the genetic basis of starch content (SC) benefits greatly in improving maize yield and optimizing end-use quality.
Xiaolei Zhang +5 more
doaj +1 more source