Results 21 to 30 of about 10,481,137 (284)
A multi-scale feature extraction fusion model for human activity recognition. [PDF]
Sci Rep, 2022 Abstract Human Activity Recognition (HAR) is an important research area in human-computer interaction and pervasive computing. In recent years, many deep learning (DL) methods have been widely used for HAR, and due to their powerful automatic feature extraction capabilities, they achieve better recognition performance than traditional methods ...
Zhang C, Cao K, Lu L, Deng T.
europepmc +4 more sources
Multi‐scale Feature Extraction on Point‐Sampled Surfaces [PDF]
Computer Graphics Forum, 2003 Abstract We present a new technique for extracting line‐type features on point‐sampled geometry. Given an unstructuredpoint cloud as input, our method first applies principal component analysis on local neighborhoods toclassify points according to the likelihood that they belong to a feature.
Mark Pauly +2 more
openaire +3 more sources
Multi-Scale Feature and Metric Learning for Relation Extraction
CoRR, 2021 Existing methods in relation extraction have leveraged the lexical features in the word sequence and the syntactic features in the parse tree. Though effective, the lexical features extracted from the successive word sequence may introduce some noise that has little or no meaningful content.
Mi Zhang 0006, Tieyun Qian
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The impact of seasonality on multi-scale feature extraction techniques [PDF]
International Journal of Digital Earth, 2019 A key component in constructing a broad-scale, gridded population dataset is fine resolution geospatial data accurately depicting the extent of human activity. Analogous datasets are often developed using a wide range of methods and classification techniques, including the use of spatial features, spectral features, or the coupling of both to identify ...
Brian Moore, Jacob J. McKee
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Chinese Sentiment Analysis Based on CNN-BiLSTM Model of Multi-level and Multi-scale Feature Extraction [PDF]
, 2023 Sentiment analysis,as a sub-field of natural language processing(NLP),plays a very important role in public opinion monitoring.In the Chinese sentiment analysis task,the existing methods only consider sentiment features from single-level and single-scale,
WANG Lin, MENG Zuqiang, YANG Lina
core +1 more source
Remote Sensing, 2023 Accurately extracting buildings is essential for urbanization rate statistics, urban planning, resource allocation, etc. The high-resolution remote sensing images contain rich building information, which provides an important data source for building ...
Yuanzhi Wang +4 more
doaj +1 more source
Robust Multi-scale Extraction of Blob Features [PDF]
, 2003 This paper presents a method for detection of homogeneous regions in grey-scale images, representing them as blobs. In order to be fast, and not to favour one scale over others, the method uses a scale pyramid. In contrast to most multi-scale methods this one is non-linear, since it employs robust estimation rather than averaging to move through scale ...
Per-Erik Forssén, Gösta H. Granlund
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The structure diagram of multi-scale feature extraction map.
, 2023 The structure diagram of multi-scale feature extraction map.
Jing Di (6703100) +6 more
core +1 more source
IEEE Access, 2023 As a new technology in the field of remote sensing, hyperspectral remote sensing has been widely used in land classification, mineral exploration, environmental monitoring, and other areas.
Yamei Ma +3 more
doaj +1 more source
Multiscale Feature Extraction and Fusion of Image and Text in VQA
International Journal of Computational Intelligence Systems, 2023 The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly.
Siyu Lu +5 more
doaj +1 more source