Pattern Analysis and Applications
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Machine learning-based tools to model and to remove the off-target effect
Pattern Analysis and Applications - Tập 20 - Trang 87-100 - 2015
A RNA interference, also called a gene knockdown, is a biological technique which consists of inhibiting a targeted gene in a cell. By doing so, one can identify statistical dependencies between a gene and a cell phenotype. However, during such a gene inhibition process, additional genes may also be modified. This is called the “off-target effect”. The consequence is that there are some additional......
Fingerprint reference point identification based on chain encoded discrete curvature and bending energy
Pattern Analysis and Applications - Tập 20 - Trang 253-267 - 2016
Reference point identification is important in automatic fingerprint recognition system as it can be used to align fingerprints in a correct orientation in spite of the possibility of different transformations in fingerprint images. It is also used in fingerprint classification, as it is desirable to classify fingerprint images for forensic type applications which require the input image to be ver......
Classifying image texture with statistical landscape features
Pattern Analysis and Applications - Tập 8 - Trang 321-331 - 2005
This paper proposes to use three-dimensional information derived from the graph of an image function for texture description. The graph of an image function is a rumpled surface appearing like a landscape. To characterize the texture through this landscape, six novel texture feature curves based on the statistics of the geometrical and topological properties of the solids shaped by the graph and a......
A multiple attributes convolution kernel with reproducing property
Pattern Analysis and Applications - Tập 20 - Trang 485-494 - 2015
Various kernel-based methods have been developed with great success in many fields, but very little research has been published that is concerned with a multiple attribute kernel in reproducing kernel Hilbert space (RKHS). In this paper, we propose a novel elastic kernel called a multiple attribute convolution kernel with reproducing property (MACKRP) and present improved classification results ov......
MLP Based Linear Fea ure Ex rac ion for Nonlinearly Separable Data
Pattern Analysis and Applications - Tập 4 - Trang 227-234 - 2001
A novel approach to linear feature extraction is presented. Most supervised feature extraction algorithms use mean square error or other measures based on the difference between expected and actual output values as a performance criterion. The novel approach presented here uses data visualisation together with an empirical classification error (percentage of cases classified inco......
Bayesian classification and unsupervised learning for isolating weeds in row crops
Pattern Analysis and Applications - Tập 17 - Trang 401-414 - 2012
This paper presents a weed/crop classification method using computer vision and morphological analysis. Subsequent supervised and unsupervised learning methods are applied to extract dominant morphological characteristics of weeds present in corn and soybean fields. The novelty of the presented technique resides in the feature extraction process that is based on spatial localization of vegetation ......
Transform Based Lossy Compression of Multispectral Images
Pattern Analysis and Applications - Tập 4 - Trang 39-50 - 2014
We have composed compression methods, which are based on the one-, two- and three-dimensional wavelet transforms. In addition, clustering the spectra of the image is considered. These compression methods, combining compression in the spectral and spatial domains, are compared by using a dataset of 65 multispectral images. The experimental results show that, at low compression ratios, the best meth......
Local support-based partition algorithm for frequent pattern mining
Pattern Analysis and Applications - Tập 22 - Trang 1137-1147 - 2018
Frequent pattern (itemset) mining is one of the established approaches for knowledge discovery. Minimizing the number of database scans (I/O overhead) is a challenging task in Frequent itemset mining. Partition algorithm is one of the early novel approaches to reduce the database I/O overhead as compared to Apriori algorithm and other related methods. However, Partition algorithm suffers from a si......
Gregory Shakhnarovich, Trevor Darrell and Piotr Indyk: Nearest-Neighbors Methods in Learning and Vision. Theory and Practice
Pattern Analysis and Applications - - 2008
Segmentation of handwritten words using structured support vector machine
Pattern Analysis and Applications - Tập 23 Số 3 - Trang 1355-1367 - 2020
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