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Visual tracking is intrinsically a temporal problem. Discriminative Correlation Filters (DCF) have demonstrated excellent performance for high-speed generic visual object tracking. Built upon their seminal work, there has been a plethora of recent improvements relying on convolutional neural network (CNN) pretrained on ImageNet as a feature extractor for visual tracking. However, most of their works...
Single-image blind deconvolution is a challenging illposed inverse problem which requires regularization techniques to stabilize the restoration process. Its purpose is to recover an underlying blur kernel and a latent image from only one blurred image. In most imaging situations, the blur kernel is not only spatially sparse, but also piecewise smooth with the support of a continuous curve. Thus this...
An Image Signal Processor (ISP) converts raw imaging sensor data into a format appropriate for further processing and human inspection. This work explores FPGA-based ISP designs considering specialized and programmable implementations and proposes an ISP using a programmable generic processing unit with comparable performance versus the dedicated implementations.
A new spectral calibration algorithm, Laplacian regularized least squares (LapRLS), was proposed. Commonly least squares support vector machine (LS-SVM) and partial least squares (PLS) are used for the spectral quantitative model establishment. However, LS-SVM and PLS are supervised machine learning algorithms which just make use of labeled data. LapRLS is a semi-supervised machine learning algorithm...
Nowadays, Graphics Processing Unit (GPU), as a kind of massive parallel processor, has been widely used in general purposed computing tasks. Although there have been mature development tools, it is not a trivial task for programmers to write GPU programs. Based on this consideration, we propose a novel parallel computing architecture. The architecture includes a parallel programming model, named Gemma,...
Extensible processor provides an efficient mechanism to boost the performance of the whole system without losing much flexibility. However, due to the intense demand of low cost and power consumption, customizing an embedded system has been more difficult than ever. In this paper, we present a framework for custom instruction generation considering both area constraint and resource sharing. We also...
Intersection of inverted lists is a frequently used operation in search engine systems. Efficient CPU and GPU intersection algorithms for large problem size are well studied. We propose an efficient GPU algorithm for high performance intersection of inverted index lists on CUDA platform. This algorithm feeds queries to GPU in batches, thus can take full advantage of GPU processor cores even if problem...
With the development of positioning in indoor wireless environments, RSS-based indoor positioning algorithm has been widely applied. Compared with other indoor positioning algorithms, the greatest advantage of RSS-based is that it can be configured easily and can get the signal strength from various types of networks that support the 802.11 protocol. Furthermore, it doesn't need complex clock synchronization...
We compare methods based on the Signed Distance Function (SDF) a new tool for binary classification with standard Support Vector Machine (SVM) methods. We demonstrate on several sets of micro-array data that the performance of the SDF based methods can match or exceed that of SVM methods.
One of the basic assumptions in traditional machine learning is that it requires training and test data be under the same distribution. However, in image classification, this assumption often does not hold, since image labels are not as sufficient as text ones. In this paper, we propose to use labeled images from relevant but different categories to take the role of training data for estimating a...
Based on multi-spectral digital image texture feature, a new method for discriminating tea categories was put forward. The images which have three waveband images (Red, Green, NIR) were recorded by multi-spectral digital imager (MS3100). Eight filters were designed based on discrete cosine transform (DCT), and the NIR image was processed by the 8 filters, then the Standard deviation (Sd) of original...
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