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In polar region operations, drift sea ice positioning and tracking is useful for both scientific and safety reasons. Modeling ice movements has proven difficult, not least due to the lack of information of currents and winds of high enough resolution. Thus, observations of drift ice is essential to an up-to-date ice-tracking estimate. As an inverse problem, it is possible to extract current and wind...
Convolutional Neural Network (CNN) has received remarkable achievements in hyperspectral image (HSI) classification. However, how to effectively implement spatial context that has been demonstrated to be crucial for classification of HSI is still an open issue. Current CNNs for hyperspectral classification are restricted into a small scale due to small-scale input and limited training samples. Therefore,...
Generative models are used in an increasing number of applications that rely on large amounts of contextually rich information about individuals. Owing to possible privacy violations, however, publishing or sharing generative models is not always viable. In this paper, we introduce a novel solution for privately releasing generative models and entire high-dimensional datasets produced by these models...
Convolutional neural networks (CNNs) are inherently limited to model geometric transformations due to the fixed geometric structures in their building modules. In this work, we introduce two new modules to enhance the transformation modeling capability of CNNs, namely, deformable convolution and deformable RoI pooling. Both are based on the idea of augmenting the spatial sampling locations in the...
Gender recognition from facial images has become one of challenging research problem in computer vision, security, verbal-nonverbal communication and human computer interaction applications nowadays. Because facial images include many information such as gender, facial expressions, age, ethnic origin in computer-aided applications, the success rate of the gender recognition depends on quality of facial...
We show how to compute a relative-error low-rank approximation to any positive semidefinite (PSD) matrix in sublinear time, i.e., for any n x n PSD matrix A, in Õ(n ⋅ poly(k/ε)) time we output a rank-k matrix B, in factored form, for which kA – B║ 2 F ≤ (1 + ε)║A – Ak║2 F , where Ak is the best...
When a standard TCP implementation using the minimum retransmission timeout (RTOmin) of 200 ms is used in distributed file systems in data centers, a well-known throughput degradation called TCP Incast occurs, because 200 ms is too large as an RTOmin in data centers. In order to avoid TCP Incast, a TCP implementation using a much smaller RTOmin attained by a fine-grained kernel timer is proposed....
We present an approach for blind image deblurring, which handles non-uniform blurs. Our algorithm has two main components: (i) A new method for recovering the unknown blur-field directly from the blurry image, and (ii) A method for deblurring the image given the recovered non-uniform blur-field. Our blur-field estimation is based on analyzing the spectral content of blurry image patches by Re-blurring...
The Computed Tomography (CT) is a imaging method based on X-rays to obtain cross-sectional images from an object. It is a widely used method in several areas, such as medicine, archeology or material sciences. Tomographic reconstruction techniques, use the projections of images from multiple directions. There are several algorithms for this purpose but can be classified according to their reconstruction...
This paper considers a problem of reconstructing a typeface of Chinese characters. First, Chinese characters are generated by using the so-called dynamic font method as a basic tool. Then, we develop a scheme for reconstructing characters to cursive characters with natural "Renmen" which can depict continuity of the adjacent strokes. For realizing the natural Renmen, we propose a method...
Person re-identification is important and challenging parts in a non-overlapping camera network. In this paper, we propose the person re-identification framework which consists of kernel size into convolutional layers considering the person ratio and relationship matrix that train the relationship information related to neighborhoods. Our framework deals with global feature extracted from the whole...
Many existing scene parsing methods adopt Convolutional Neural Networks with fixed-size receptive fields, which frequently result in inconsistent predictions of large objects and invisibility of small objects. To tackle this issue, we propose a scale-adaptive convolution to acquire flexiblesize receptive fields during scene parsing. Through adding a new scale regression layer, we can dynamically infer...
We evaluate the on-node interference caused when co-locating traditional high-performance computing applications with a big-data application. Using kernel benchmarks from the NPB suite and a state-of-art graph analytics code, we explore different process placements and effects they have on application performance. Our results show that the most memory intensive HPC application (MG) experienced the...
Accelerators are specialized hardware designs that generally guarantee two to three orders of magnitude higher energy efficiency than general-purpose processor cores for their target computational kernels. To cope with the complexity of integrating many accelerators into heterogeneous systems, we have proposed Embedded Scalable Platforms (ESP) that combines a flexible architecture with a companion...
Inter-process communication (IPC) is one of the crucial aspects of every microkernel. The message-passing interface (MPI) is a specification between different processes, which is used for communication amongst processes. Message Passing Interface Chameleon (MPICH) is the portable implementation of message passing interface. This paper delineates the comparison between IPC, MPI and MPICH in terms of...
OpenCL is a standard that supports a parallel programming paradigm which enables heterogeneous multi-core systems and also offers a high level of portability for the application. Some of the systems that are used with OpenCL might have vector capabilities at device compute units level. There are more ways the vector capabilities could be exploited by the OpenCL device application, the most common...
An image can be basically defined as an object that represents visual observation, which can be created and stored in the electronic form, produced from an optical device. When we take a photograph, there can be many problems associated with that particular image. Among them, one of the main issue is the blur of the image. Blur can be defined as something which will become vague or less distinct....
Today's standard embedded device technology is not robust against Fault Injection (FI) attacks such as Voltage Fault Injection (V-FI). FI attacks can be used to alter the intended behavior of software and hardware of embedded devices. Most FI research focuses on breaking the implementation of cryptographic algorithms. However, this paper's contribution is in showing that FI attacks are effective at...
Accuracy in segmenting of brain vessels from medical angiographic data is crucial for further modelling and assessment of the human vasculature. It was demonstrated that the level set (LS) approach enhanced by the implementation of the vesselness function (VF) provides a robust segmentation framework enabling the high-quality vessel network extracted from CT and MR images. This work investigates the...
Heterogeneous platforms with large numbers of processing elements (PEs) have been proposed to satisfy the computational requirements of computer vision applications. Limiting the incurred communication cost here is key to meet the power constraints of embedded devices.We present a new heuristic to reduce communication among PEs and to external memory by aggregating inter-process communication and...
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