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Support Vector Machines (SVMs) are a powerful supervised learning tool, providing state-of-the-art accuracy at a cost of high computational complexity. The SVM classification suffers from linear dependencies on the number of the Support Vectors and the problem's dimensionality. In this work, we propose a scalable FPGA architecture for the acceleration of SVM classification, which exploits the device...
The Support Vector Machine (SVM) is a popular supervised learning method, providing high accuracy in many classification and regression tasks. However, its training phase is a computationally expensive task. In this work, we focus on the acceleration of this phase and a geometric approach to SVM training based on Gilbert's Algorithm is targeted, due to the high parallelization potential of its heavy...
Support vector machines (SVMs) is a popular supervised learning method, providing state-of-the-art accuracy in various classification tasks. However, SVM training is a time-consuming task for large-scale problems. This paper proposes a scalable FPGA architecture which targets a geometric approach to SVM training based on Gilbertpsilas algorithm using kernel functions. The architecture is partitioned...
Support vector machines (SVMs) are an effective, adaptable and widely used method for supervised classification. However, training an SVM classifier on large-scale problems is proven to be a very time-consuming task for software implementations. This paper presents a scalable high-performance FPGA architecture of Gilbertpsilas Algorithm on SVM, which maximally utilizes the features of an FPGA device...
This paper introduces an innovative design which implements a high-performance JPEG-LS encoder. The encoding process follows the principles of the JPEG-LS lossless mode. The proposed implementation consists of an efficient pipelined JPEG-LS encoder, which operates at a significantly higher encoding rate than any other JPEG-LS hardware or software implementation while keeping area small
A design approach to create small-sized highspeed implementations of the keyed-hash message authentication code (HMAC) is presented. The proposed implementation can either operate in HMAC-MD5 and/or in HMAC-SHA1 mode. The proposed implementations do not introduce significant area penalty. However the achieved throughput presents an increase compared to commercially available IP cores that range from...
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