In this paper we present HPF extensions for clusters of SMPs and their implementation within the VFC compiler. The main goal of these extensions is to optimize HPF for clusters of SMPs by enhancing the functionality of the mapping mechanisms and by providing the user with high-level means for controlling key aspects of distributedmemory and shared-memory parallelization. Based on the proposed l...

Natural language understanding (NLU) models often rely on dataset biases rather than intended task-relevant features to achieve high performance specific datasets. As a result, these perform poorly datasets outside the training distribution. Some recent studies address this issue by reducing weights of biased samples during process. However, methods still encode latent in representations and ne...

Item-based collaborative filtering (ICF) enjoys the advantages of high recommendation accuracy and ease in online penalization thus is favored by industrial recommender systems. ICF recommends items to a target user based on their similarities previously interacted user. Great progresses have been achieved for recent years applying advanced machine learning techniques (e.g., deep neural network...

With the growing demand of real-time traffic monitoring nowadays, software-based image processing can hardly meet the real-time data processing requirement due to the serial data processing nature. In this paper, the implementation of a hardware-based feature detection and networking system prototype for real-time traffic monitoring as well as data transmission is presented. The hardware archit...

The BLSTM-CTC is a novel recurrent neural network architecture that has outperformed previous state of the art algorithms in tasks such as speech recognition or handwriting recognition. It has the ability to process long term dependencies in temporal signals in order to label unsegmented data. This paper describes different ways of combining features using a BLSTM-CTC architecture. Not only do ...

Image retrieval plays an important role in many areas like architectural and engineering design, fashion, journalism, advertising, entertainment, etc. How to search and to retrieve the images that we are interested in is a fatal problem: it brings a necessity for image retrieval systems. As we know, visual features of the images provide a description of their content. Contentbased image retriev...

SIFT Feature with Relevance Feedback for Image Retrieval Written by Administrator Wednesday, 16 March 2011 08:52 Last Updated Monday, 21 March 2011 07:32 In this paper, we used the Scale Invariant Feature Transform (SIFT) feature for image retrieval. SIFT descriptors are invariant to image scaling, transformation,rotation and partially invariant to illumination changes and affine, gives the loc...

This paper presents the approaches and experimental results of image annotation and retrieval in our first participation of ImageCLEFmed 2005. In this work, we investigate a supervised learning approach to associate low-level global image features with their high level visual and/or semantic categories for image annotation and retrieval. For automatic image annotation, we represent input images...

Project Management has long established the need for risk management techniques to be utilised in the succinct identification and mitigation of associated risks in projects. Such techniques aim at the reconciliation of countervailing project activities to reduce scope creep, increase the probability of on-time and within-budget delivery. Uncontrolled changes, regardless of size and complexity, ...