搜索结果: 1-15 共查到“dimensionality reduction”相关记录20条 . 查询时间(0.071 秒)
Towards Fully Automated Analysis of Whiteboxes: Perfect Dimensionality Reduction for Perfect Leakage
whitebox cryptanalysis security evaluation
2018/1/29
Differential computation analysis (DCA) is a technique recently introduced by Bos et al. and Sanfelix et al. for key recovery from whitebox implementations of symmetric ciphers. It consists in applyin...
Less is More - Dimensionality Reduction from a Theoretical Perspective
important problem side-channel analysis
2016/4/12
Reducing the dimensionality of the measurements is an important problem in side-channel analysis. It allows to capture multi-dimensional leakage as one single compressed sample, and therefore also hel...
Boosting Higher-Order Correlation Attacks by Dimensionality Reduction
Dimensionality Reduction Higher-Order Correlation
2016/1/5
Multi-variate side-channel attacks allow to break higher-order masking
protections by combining several leakage samples. But how to optimally extract all
the information contained in all possible d-...
A DIMENSIONALITY REDUCTION ALGORITHM OF HYPER SPECTRAL IMAGE BASED ON FRACT ANALYSIS
Hyper spectral dimensionality reduction spectral domain fractal analysis feature image
2015/12/30
A dimensionality reduction algorithm based on feature extraction of the spectral curve using fractal analysis which considering both the spatial characteristic and spectral characteristic of hyper spe...
A duality view of spectral methods for dimensionality reduction
Duality spectrum the nonlinear dimension reduction locally linear embedding Laplacian sparse matrix
2015/8/10
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenmaps, and maximum vari...
Dimensionality Reduction for Speech Recognition Using Neighborhood Components Analysis
speech recognition acoustic modeling
2015/3/10
Dimensionality Reduction for Speech Recognition Using Neighborhood Components Analysis.
Language Recognition via Ivectors and Dimensionality Reduction
Language Recognition via Ivectors Dimensionality Reduction
2015/3/9
Language Recognition via Ivectors and Dimensionality Reduction.
A Unified Framework for Dimensionality Reduction and Classification of Hyperspectral Data
Unified Framework SVMDRC Dimensionality Reduction Intrinsic Dimensionality
2014/12/15
The processing of hyperspectral remote sensing data, for information retrieval, is challenging due to its higher dimensionality. Machine learning based algorithms such as Support Vector Machine (SVM) ...
DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGES BY COMBINATION OF NON-PARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE) AND MODIFIED NEIGHBORHOOD PRESERVING EMBEDDING (NPE)
Hyperspectral Imagery Feature Extraction LDA NPE Classification
2014/12/1
This paper combine two conventional feature extraction methods (NWFE&NPE) in a novel framework and present a new semi-supervised feature extraction method called Adjusted Semi supervised Discriminant ...
Non-linear dimensionality reduction: Riemannian metric estimation and the problem of geometric discovery
Non-linear dimensionality reduction Riemannian metric estimation the problem geometric discovery
2013/6/14
In recent years, manifold learning has become increasingly popular as a tool for performing non-linear dimensionality reduction. This has led to the development of numerous algorithms of varying degre...
Identification of Stearoyl-CoA Desaturase (SCD) Gene Interactions in Korean Native Cattle Based on the Multifactor-dimensionality Reduction Method
Native Cattle Multifactor-Dimensionality Reduction (MDR) Single Nucleotide Polymorphism (SNP) Stearoyl-CoA Desaturase1 (SCD1) Gene
2016/5/12
Fat quality is determined by the composition of fatty acids. Genetic relationships between this composition and single nucleotide polymorphisms (SNPs) in the stearoyl-CoA desaturase1 (SCD1) gene were ...
Inverting Non-Linear Dimensionality Reduction with Scale-Free Radial Basis Interpolation
nonlinear dimensionality reduction graph Laplacian radial basis function interpolation Nyströ m method
2013/6/14
A numerical method is proposed to approximate the inverse of a general bi-Lipschitz nonlinear dimensionality reduction mapping, where the forward and consequently the inverse mappings are only explici...
Maximal Linear Embedding for Dimensionality Reduction
Dimensionality reduction manifold learning maximal linear patch landmarks-based global alignment.
2013/7/24
Over the past few decades, dimensionality reduction has been widely exploited in computer vision and pattern analysis.This paper proposes a simple but effective nonlinear dimensionality reduction algo...
A convex model for non-negative matrix factorization and dimensionality reduction on physical space
Non-negative matrix factorization dictionary learning subset selection dimensionality reduction hyperspec-tral endmember detection blind source separation
2011/3/18
A collaborative convex framework for factoring a data matrix $X$ into a non-negative product $AS$, with a sparse coefficient matrix $S$, is proposed. We restrict the columns of the dictionary matrix $...
A multivariate adaptive stochastic search method for dimensionality reduction in classification
Dimensionality reduction classification variable selection
2010/10/19
High-dimensional classification has become an increasingly important problem. In this paper we propose a "Multivariate Adaptive Stochastic Search" (MASS) approach which first reduces the dimension of...