9 Result(s)
within
English
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Yi**ang Chen
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Article
Open AccessAccuracy improvements for cold-start recommendation problem using indirect relations in social networks
Recent advances in Internet applications have facilitated information spreading and, thanks to a wide variety of mobile devices and the burgeoning 5G networks, users easily and quickly gain access to informati...
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Chapter and Conference Paper
Human Action Recognition Based on Sub-data Learning
Human action recognizing nowadays plays a key role in varieties of computer vision applications while at the same time it’s quite challenging for the requirement of accuracy and robustness. Most current comput...
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Chapter and Conference Paper
Image-Text Dual Model for Small-Sample Image Classification
Small-sample classification is a challenging problem in computer vision and has many applications. In this paper, we propose an image-text dual model to improve the classification performance on small-sample d...
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Chapter and Conference Paper
WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge
Despite the emergence and growth of numerous large knowledge graphs, many basic and important facts about our everyday world are not readily available on the Web. To address this, we present WebBrain, a new ap...
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Chapter and Conference Paper
Sequential Labeling with Online Deep Learning: Exploring Model Initialization
In this paper, we leverage both deep learning and conditional random fields (CRFs) for sequential labeling. More specifically, we explore parameter initialization and randomization in deep CRFs and train the w...
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Article
Open AccessDiscovery of extreme events-related communities in contrasting groups of physical system networks
The latent behavior of a physical system that can exhibit extreme events such as hurricanes or rainfalls, is complex. Recently, a very promising means for studying complex systems has emerged through the conce...
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Chapter and Conference Paper
A Bayesian Classifier for Learning from Tensorial Data
Traditional machine learning methods characterize data observations by feature vectors, where an entry of a vector denotes a scalar feature value of a data instance. While this data representation facilitates ...
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Chapter and Conference Paper
Listen! Somebody Is Walking towards Your Car (Introducing the Awareness-3D Sound System into the Driver to Increase the Pedestrian’s Safety)
Car accident statistics indicate that the pedestrians are the majority of the road traffic victims due to drivers’ lack of adequate visibility on the road. In this paper, the effects of human natural sounds in...
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Article
Some Formal Analysis of Rocchio's Similarity-Based Relevance Feedback Algorithm
Rocchio's similarity-based Relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised learning algorithm from examples. In...
