We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forward feature selection (FFS) and Linear ...
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ISBN:
(纸本)0769525210
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forward feature selection (FFS) and Linear Programming Support Vector Machine (LPSVM). We found that both procedures are able to transform the problems to spaces of very low dimensionality where class separability is improved over that in the original space. the study shows that geometrical complexities have good potentials for comparing different feature selection methods in aspects relevant to classification accuracy, yet independent of particular classifier choices.
the proceedings contain 39 papers. the special focus in this conference is on patternrecognition and Artificial Intelligence. the topics include: Weighted maximum variance dimensionality reduction;improved performanc...
ISBN:
(纸本)9783319074900
the proceedings contain 39 papers. the special focus in this conference is on patternrecognition and Artificial Intelligence. the topics include: Weighted maximum variance dimensionality reduction;improved performance of computer networks by embedded pattern detection;a family of two-dimensional benchmark data sets and its application to comparing different cluster validation indices;multilayer neural network with multi-valued neurons in time series forecasting of oil production;developing architectures of spiking neural networks by using grammatical evolution based on evolutionary strategy;problem solving environment based on knowledge based system principles;positive and negative local trend association patterns in analysis of associations between time series;an effective permutant selection heuristic for proximity searching in metric spaces;contextualized hand gesture recognition with smartphones;a feasibility study on the use of binary keypoint descriptors for 3D face recognition;an approach for multi-pose face detection exploring invariance by training;assembling similar tracking approaches in order to strengthen performance;real-time classification of lying bodies by hog descriptors;wavelet filter adjusting for image lossless compression using patternrecognition;a new retinal recognition system using a logarithmic spiral sampling grid;a semi-supervised puzzle-based method for separating the venous and arterial vascular networks in retinal images;thermal image processing for breast symmetry detection oriented to automatic breast cancer analysis;relevance feedback in biometric retrieval of animal photographs and applying mathematical morphology for the classification of Iberian ceramics from the upper valley of guadalquivir river.
To date, identifying cracks in bridges and determining bridge conditions primarily involve manual labour. Bridge inspection by human experts has some drawbacks such as the inability to physically examine all parts of ...
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One of the important problems in functional genomics is how to select the disease genes. In this regard, the paper presents a new similarity measure to compute the functional similarity between two genes. It is based ...
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Fingerprint recognition systems are widely deployed in both government and civilian applications. But the emergence of fake fingerprints poses a new threat to privacy security. Among the numerous fingerprint vitality ...
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ISBN:
(纸本)9781479903108
Fingerprint recognition systems are widely deployed in both government and civilian applications. But the emergence of fake fingerprints poses a new threat to privacy security. Among the numerous fingerprint vitality detection methods, the local binary pattern (LBP) is considered as one of the state-of-the-art operators. However, the local binary pattern tends to be sensitive to noise, as there are no types of filters involved in the LBP operator. Worse still, the LBP operator can not reflect these difference whether the pixel value is bigger than the threshold or equal to the threshold. So we proposed a novel fingerprint vitality detection method based on multi-scale block local ternary patterns (MBLTP). Instead of a single pixel, its computation is done based on the average value of blocks. the ternary pattern is adopted to reflect the differences between the pixels and the threshold. the experimental results in the databases of Competition on Fingerprint Liveness Detection 2011 (LivDet 2011) show its superiority.
A realignment algorithm for irregular character strings on color documents is proposed. Color documents often contain poorly aligned texts such as inclined or curved texts sometimes with distortion. In order to recogn...
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Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem...
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ISBN:
(纸本)0769525210
Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. the experimental results show the effectiveness of this method.
Feature extraction is critical to the success of a face recognition system. Local Binary patterns (LBP), with its different extensions, is one of the most popular texture descriptors, because of its demonstrated accur...
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ISBN:
(纸本)9781479903108
Feature extraction is critical to the success of a face recognition system. Local Binary patterns (LBP), with its different extensions, is one of the most popular texture descriptors, because of its demonstrated accuracy and efficiency. A LBP code is jointly determined by a number of local comparisons between a central pixel and its surrounding pixels. therefore even a single flipping of any comparison results will dramatically change the resulting LBP code. this paper proposes a novel feature descriptor, named Local Salient patterns (LSP), which aims to only encode the most robust local comparisons, withthe largest positive or negative contrast magnitude in LBP feature representation. therefore LSP is expected to be more robust than the conventional LBP descriptor. In addition, LSP can be further extended to high order cases which explore more local relationships among multiple pixels. Extensive experimental results demonstrate that LSP outperforms the uniform LBP in most cases, when encoding using different radii and number of sampling points. LSP also achieves better performance than some advanced variants of LBP descriptors such as Local Ternary patterns (LTP). We show that multi-order LSP achieves state-of-the art face recognition performance.
It has been shown ([4], [3]) that equidistant letter sequence (ELS) pairs in the book of Genesis (G) form more compact geometric patterns on the surface of a cylinder than is expected at random. this phenomenon has be...
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ISBN:
(纸本)0769525210
It has been shown ([4], [3]) that equidistant letter sequence (ELS) pairs in the book of Genesis (G) form more compact geometric patterns on the surface of a cylinder than is expected at random. this phenomenon has been demonstrated in G for specific lists of biographical data. We extend these results and show that: 1. the compactness phenomenon holds for triplets of elements where two elements are words, taken from a lexicon derived from all the words in the Pentateuch, which form co-linear ELSs, and the third element is a verse in the text that contains two words withthe same meanings as the first two elements respectively. 2. this phenomenon manifests itself in the entire Hebrew Pentateuch. the p-level obtained for this experiment is 6 x 10(-8).
We introduce a technique based on diagonal white runs and vertical edges, that divides a document image into columns and blocks which are subsequently classified as text or graphics. A diagonal white run (drun) is a s...
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