16 Result(s)
within
English
Computer Science
Algorithm Analysis and Problem Complexity
Artificial Intelligence
Computer Communication Networks
**mo Wang
Chapter
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Chapter and Conference Paper
Attention-Based Temporal Weighted Convolutional Neural Network for Action Recognition
Research in human action recognition has accelerated significantly since the introduction of powerful machine learning tools such as Convolutional Neural Networks (CNNs). However, effective and efficient meth...
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Chapter and Conference Paper
Content-Aware Attention Network for Action Recognition
This paper presents a content-aware attention network (CatNet) for action recognition task, which can leverage attention mechanism to aggregate frame-level features into a compact video-level representation. U...
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Chapter and Conference Paper
Entropy-Assisted Emotion Recognition of Valence and Arousal Using XGBoost Classifier
Emotion recognition is an essential function to realize human-machine interaction devices. Physiological signals which can be collected easily and continuously by wearable sensors are good inputs for emotion a...
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Chapter and Conference Paper
Gazes Induce Similar Sequential Effects as Arrows in a Target Discrimination Task
Symbolic cueing paradigm has been widely used to investigate the attention orienting induced by centrally-presented gaze or arrow cues. Previous studies have found a sequence effect in this paradigm when arrow...
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Chapter and Conference Paper
Weighting Features Before Applying Machine Learning Methods to Pulsar Search
In recent years, different Artificial Intelligence methods have been applied to pulsar search, such as Artificial Neural Network method, PEACE Sorting Algorithm, Real-time Classification method. In this paper,...
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Chapter and Conference Paper
Online Shop** Recommendation with Bayesian Probabilistic Matrix Factorization
Recommendation system plays a crucial role in demand prediction, arousing attention from industry, business, government and academia. Widely employed in recommendation system, matrix factorization can well cap...
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Chapter and Conference Paper
Sentiment Analysis of Movie Reviews Based on CNN-BLSTM
Sentiment analysis has been a hot area in the research field of language understanding, but complex deep neural network used in it is still lacked. In this study, we combine convolutional neural networks (CNNs...
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Chapter and Conference Paper
Transfer Learning for Music Genre Classification
Modern music information retrieval system provides high-level features (genre, instrument, mood and so on) for searching and recommending conveniently. Among these music tags, genre is the most widely used in ...
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Chapter and Conference Paper
Improved CNN Based on Super-Pixel Segmentation
Convolutional neural network has unique superiority in images processing, it can effectively extract features and reduce data dimensions by convolution and pooling. But it takes the “violent segmentation” meth...
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Chapter and Conference Paper
Two Stages Empty Containers Repositioning of Asia-Europe Ship** Routes Under Revenue Maximization
The problem of empty containers repositioning (ECR) is to dispatch the empty containers coupled with laden containers transportation flow between the surplus ports and the deficit ports according to the fixed ...
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Chapter and Conference Paper
Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network
Traffic three elements consisting of flow, speed and occupancy are very important parameters representing the traffic information. Prediction of them is a fundamental problem of Intelligent Transportation Syst...
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Chapter and Conference Paper
A Functional Model of AIS Data Fusion
In recent years, maritime situational awareness based on the fusion of AIS (Automatic Identification System) data has attracted more and more researchers. However, the diversity of terms and methodologies hind...
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Chapter and Conference Paper
A Coding Efficiency Improvement Algorithm for Future Video Coding
Motion estimation is critical in motion coding. However, the fixed pattern of search center decision method in HEVC is lack of precision. Taking advantage of the surrounding coding unit information, a universa...
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Chapter and Conference Paper
Discrete Cuckoo Search with Local Search for Max-cut Problem
Max-cut problem is a well-known NP-hard problem, in this paper, a hybrid meta-heuristic algorithm is designed to solve it. In this algorithm, the discrete cuckoo search is employed to find the approximate sati...
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Chapter and Conference Paper
Retraction Note to: A Situation-Aware Method Based on Ontology Analysis of the Semantic Social Network
The authors have retracted this chapter [1] because the method described in the chapter is based on the wrong data set, which means that the experimental results cannot be reproduced. All authors agree with th...
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Chapter
A Matrix-Analytic Solution for Randomized Load Balancing Models with PH Service Times
In this paper, we provide a matrix-analytic solution for randomized load balancing models (also known as supermarket models) with phase-type (PH) service times. Generalizing the service times to the phase-type di...
