The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Hyperspectral data unmixing has attracted considerable attention in recent years. Hyperspectral data may however suffer from varying levels of signal-to-noise ratio over spectral bands. In this paper, we investigate a robust approach for nonlinear hyperspectral data unmixing. Each observed pixel is modeled as a linear mixing of endmember spectra with nonlinear fluctuations embedded in a reproducing...
Linear spectral unmixing consists on the identification of spectrally pure constituents, called endmembers and their corresponding proportions or abundances using a linear model. Traditionally, most of the attention has been focussed on the exploitation of spectral information when identifying a set of endmembers and, only recently, some techniques try to take advantage of complementary information...
Nonlinear unmixing methods for hyperspectral image (HSI) have attracted increasing interests since they can overcome the inherent limitations of the linear ones. In this paper, we regard the spectral unmixing as a blind source separation problem in the feature space, and develop a novel kernel based nonnegative matrix factorization method to estimate the endmembers and the abundances simultaneously...
Incremental graph algorithms can respond quickly to small changes in massive graphs by updating rather than recomputing analysis metrics. Here we use the linear system formulation of PageRank and ideas from iterative refinement to compute the update to a PageRank vector accurately and quickly. The core idea is to express the residual of the original solution with respect to the updated matrix representing...
This paper proposes a bag of end members based novel method for content-based hyperspectral image retrieval. The proposed system exploits high resolution spectral signatures of the distinct materials in the hyperspectral images and consists of two steps. In the first step, query and archive hyperspectral images are represented with a feature vector computed by a novel bag of end members based feature...
Invisible Control Flow (ICF) results from dynamic binding and asynchronous processing. For modern software replete with ICF, the ability to analyze and resolve ICF is crucial for verifying software. A fully automated analysis to resolve ICF suffers from imprecision and high computational complexity. As a practical alternative, we present a novel solution of interactive human-machine collaboration...
Principal component analysis is a number of related indexes into a multivariate statistical method a fewrelated indicators, often used in data compression and feature extraction are widely used in industry, agriculture, economy, biology, medicine, astronomy, geography and other fields. In the classical principal component analysis, each training data in construction the main ingredient is the same...
In this paper, we firstly study the partial least squares (PLS) and locally weighted project regression (LWPR) methods. As a result, we find out that both methods leave some space for improvement. Then we put forward a new method, called LWPR-MPLS, to improve the traditional statistics and their thresholds. Our method reduces the computation load significantly and therefore can deal with nonlinear...
We concern this research with the table based KNN as the approach to the index optimization task. It may be interpreted into an instance of word classification, and the encoding scheme where words are encoded into tables improved the task word classification. In this research, words are encoded into tables and apply the table based KNN to the index optimization task. From this research, we expect...
In this paper, we analyze the ℓ2-stability and the ℓ∞-stability of general discrete 2-D autonomous systems. The problem of ℓ∞-stability has not been studied before for general 2-D autonomous systems. We give a necessary condition for the ℓ∞-stability of discrete 2-D autonomous systems. We also give sufficient conditions for the ℓ2-stability and the ℓ∞-stability of discrete 2-D autonomous systems,...
Flood is the most frequent disaster in the world, which can do harm to agriculture and threat to food security. Using kernel based supervised classifier to execute change detection for multi-temporal remote sensing data is a common method for flood disaster monitoring and assessment, and kernel Fisher's discrimination analysis (KFDA) is one of them. Choosing training sample by visual interpretation...
Floating-point additions in concurrent execution environment are known to be hazardous, as the result depends on the order in which operations are performed. This problem is encountered in data parallel execution environments such as GPUs, where reproducibility involving floating-point atomic addition is challenging. This problem is due to the rounding error or cancellation that appears for each operation,...
Construction of polar code via puncturing and shortening is studied. We propose a reduced full search for finding optimal puncturing pattern of short polar codes.
The Single Instruction Multiple Data (SIMD) architecture of Graphic Processing Units (GPUs) makes them perfect for parallel processing of big data. In this paper, we present the design, implementation and evaluation of G-Storm, a GPU-enabled parallel system based on Storm, which harnesses the massively parallel computing power of GPUs for high-throughput online stream data processing. G-Storm has...
Mobility data records the change of location and time about the crowd activities, reflecting a large amount of semantic knowledge about human mobility and hot regions. From the perspective of regional semantic knowledge, mining anomalous regions of overcrowded area is essential for disaster-aware resilience system scheme. This paper studies how to discover anomalous regions of moving crowds over the...
The Laue diffraction microscopy experiment uses the polychromatic Laue micro-diffraction technique to examine the structure of materials with sub-micron spatial resolution in all three dimensions. During this experiment, local crystallographic orientations, orientation gradients and strains are measured as properties which will be recorded in HDF5 image format. The recorded images will be processed...
All the approaches for identification of hybrid systems appeared in the literature assume known the model complexity. Widely used models are e.g. piecewise ARX with a priori fixed orders. In addition, the developed algorithms are typically tested only on quite simple systems, e.g. with ARX subsystems of order 1 or at most 2. This is a significant limitation for real applications. Here, we propose...
For applications that deal with large amounts of high dimensional multi-aspect data, it is natural to represent such data as tensors or multi-way arrays. Tensor computations, such as tensor decompositions, are increasingly being used to extract and explain properties of such data. An important class of tensors is the symmetric tensor, which shows up in real-world applications such as signal processing,...
The term Pregnancy is highly risky for the mother and fetus where generally country like India,the population of Pregnant women is more and also where large number of infants born annually with birth defects is more and where their is need of prediction required to see pregnancy is at normal or abnormal in earlier stage so that birth defects can be control. Where prediction cannot based on one method...
In this paper, first, we point out that fuzzy integers are not special cases of fuzzy numbers. Then, we define the concept of fuzzy integers, develop the methods for establishing rankings and total orderings on sets of fuzzy integers, and discuss the interrelationships between rankings and total orderings.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.