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Diabetic retinopathy (DR) is an eye abnormality caused by long term diabetes and it is the most common cause of blindness before the age of 50. Microaneurysms (MAs), resulting from leakage from retinal blood vessels, are early indicators of DR, yielding a large body of diagnostic work focused on automatic detection of MA. However, automated detection of MAs is difficult because (1) the small size...
In order to solve the dimension disaster problem of Video high dimensional feature, a new indexing method is proposed: PKSR-Tree index. PKSR-Tree index first uses the principal component analysis to reduce the dimensionality of the high-dimensional feature data, reducing the dimension of the disaster impact and making the distribution of data homogeneous. The feature data after dimensionality reduction...
This paper presents a novelty classification method based on multivariate Bernoulli naive Bayes with Dirichlet prior and hyper parameter optimization. We test the proposed method on 15-Scenes and Msrc-v2 data set by comparing with basic multivariate Bernoulli naive Bayes and SVM (Support Vector Machine). The experiments show that our method has advantages both in running time and classification precision.
The commonly used principal component analysis (PCA) assumes circular Gaussian distribution for the observed complex random variables. This paper extends PCA to the general case where the signals can be noncircular, and introduces a new PCA method called the noncircular PCA (ncPCA). We study the properties of ncPCA and propose an efficient algorithm for its implementation. Numerical results are presented...
Face recognition has become one of the most important research areas of pattern recognition and machine learning due to its potential applications in many fields. To effectively cope with this problem, a novel face recognition algorithm is proposed by using manifold learning and minimax probability machine. Comprehensive comparisons and extensive experiments show that the proposed algorithm achieves...
This paper adopted multiscale geometry method, distilled the principal component from the image after Contourlet transform, lowered the dimension of the high frequency subdomains, eliminated the noise by minimum variance cost function. The entire arithmetic without estimate noise, compared to Contourlet hard threshod denoising and wavelet hard threshod denoising, PSNR increased 1 dB, the denoising...
Sidelobe contribution from off-axis scatterers degrades image quality in ultrasound imaging. Focusing errors resulting from sound-velocity inhomogeneities in tissues, also known as phase aberrations, reduce coherence of the received signals and thus elevates the sidelobe level degrading the contrast resolution. In this study, we proposed a novel adaptive sidelobe-reduction technique using aperture...
Distributed detection mechanism of DDoS (distributed denial of service) attack is often achieved by the corporation between many detection nodes, its final detection result largely depends on the judgements of local nodes. While DDoS attack flows are distributed enough in many links, itpsilas hard to derive exact judgement for every node only by the information collecting from local, consequently...
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