Results 251 to 260 of about 151,882 (297)

Binarized neural networks converge toward algorithmic simplicity: empirical support for the learning-as-compression hypothesis. [PDF]

Front Comput Neurosci
Sakabe EY, Abrahão FS, Simões A, Colombini E, Costa P, Gudwin R, Zenil H.   +6 more
europepmc   +1 more source

Arthralgia and fever as dominant predictors of Chikungunya confirmation: an explainable artificial intelligence approach. [PDF]

Front Med (Lausanne)
Lu X, Yin D, Zhang H.
europepmc   +1 more source

Local binary patterns for a hybrid fingerprint matcher

Pattern Recognition, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Loris Nanni, Alessandra Lumini
exaly   +4 more sources

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Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns

Information Sciences, 2018
Abstract Local binary patterns (LBP) have powerful discriminative capabilities. However, traditional methods with LBP histograms cannot capture spatial structures of LBP codes. To extract the spatial structures of an LBP code map, we compute and encode the Hamming distances between LBP codes of a center point and its neighbors on the LBP code map to ...
Feiniu Yuan, Xue Xia, Jinting Shi
exaly   +2 more sources

Feature Local Binary Patterns

, 2012
This chapter presents a Feature Local Binary Patterns (FLBP) method that encodes both local and feature information, where the feature pixels may be broadly defined by, for example, the edge pixels, the intensity peaks or valleys in an image, or new feature information derived from the local binary patterns or LBP.
Jiayu Gu, Chengjun Liu
openaire   +2 more sources

Local Binary Patterns of Segments of a Binary Object for Shape Analysis

Journal of Mathematical Imaging and Vision, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ratnesh Kumar, Kalyani Mali
openaire   +1 more source

Dominant local binary patterns for texture classification: Labelled or unlabelled?

Pattern Recognition Letters, 2015
This paper investigates the problem of learning sets of discriminative patterns from Local Binary Patterns (LBP). Such patterns are usually referred to as `Dominant Local Binary Patterns' (DLBP).
Francesco Bianconi, Elena Gonzalez, Antonio Fernández   +2 more
exaly   +2 more sources