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搜索结果: 1-15 共查到classifiers相关记录41条 . 查询时间(0.062 秒)
This article reports on the investigation of possessive constructions as they are used in a corpus of spontaneous speech collected in 2015-2017 from speakers of Raga, the Oceanic vernacular of north P...
While extracting land cover from remote sensing images, each pixel in the image is allocated to one of the possible class. In reality different land covers within a pixel can be found due to continuum...
While extracting land cover from remote sensing images, each pixel in the image is allocated to one of the possible class. In reality different land covers within a pixel can be found due to continuum...
Purpose Machine learning methods could better improve the detection of specific types of physical activities and sedentary behaviors from accelerometer data. No studies in older populations have devel...
Land cover information is essential for urban planning and for land cover change monitoring. This paper presents an overview of the work conducted at the Federal Agency for Cartography and Geodesy (BK...
We show how interpolants can be viewed as classifiers in supervised machine learning. This view has several advantages: First,we are able to use off-the-shelf classification techniques, in particular ...
Three methods of fusing information from maximum liklihood and neural network methods for multispectral data classification are discussed in this paper. The purpose of the fusion is to ...
Homomorphic encryption (HE) systems enable computations on encrypted data, without decrypting and without knowledge of the secret key. In this work, we describe an optimized Ring Learning With Errors ...
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
This paper introduces a new approach, nearest convex hull (NCH), for remote sensing classification. NCH is an intuitive classification method which labels the test point as the training class whose co...
The improved spectral resolution of modern hyperspectral sensors provides effective means for discrimination of subtly different classes and objects. However, in order to obtain statistically reliabl...
This paper discusses ensembles of simple but heterogeneous classifiers for word-sense disambiguation, examining the Stanford-CS224N system entered in the SENSEVAL-2 English lexical sample task. First-...

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