65 Result(s)
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Chapter
CBR and Micro-Architecture Anti-Patterns Based Software Design Improvement
This paper presents a Case Based Reasoning (CBR) approach to identifying micro-architecture anti-patterns and replacing them with “good” patterns in order to improve the design of software system. The resultin...
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Chapter and Conference Paper
Support Vector Machines Based Image Interpolation Correction Scheme
A novel error correction scheme for image interpolation algorithms based on support vector machines (SVMs) is proposed. SVMs are trained with the interpolation error distribution of down-sampled interpolated i...
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Chapter and Conference Paper
Neural Network Based Correction Scheme for Image Interpolation
A generalized regression neural network based error correction scheme for linear image interpolation approach is proposed. A middle image with the same size of source image is obtained by interpolating a down-...
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Chapter and Conference Paper
Local Spatial Properties Based Image Interpolation Using Neural Network
A neural network based interpolation scheme using the local spatial properties of the source image for image enlargement is proposed. The local spatial properties that are used for neural network training incl...
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Chapter and Conference Paper
Revealing Purity and Side Effects on Functions for Reusing Java Libraries
Reuse of software components requires the comprehension of the behavior and possible side effects among APIs of program components. Meanwhile, identifying problematic usage of these components is difficult wit...
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Chapter and Conference Paper
A New Research on Contrast Sensitivity Function Based on Three-Dimensional Space
In this paper, we try to extend human eyes’ contrast sensitivities characteristics (CSF) to three-dimensional space, but the experimental results show that the traditional characteristics of CSF has limitation...
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Chapter and Conference Paper
Extracting Opinion Expression with Neural Attention
Extracting opinion expressions from raw text is a fundamental task in sentiment analysis and it is usually formulated as a sequence labeling problem tackled by conditional random fields (CRFs). However CRF-bas...
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Chapter and Conference Paper
Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs
This paper presents the overview of the shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. The submitted systems are expected to automatically determine whether the author of a Chinese ...
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Chapter and Conference Paper
Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting
There has been a great concern on blind image quality assessment in the field of 2D images, however, stereoscopic image quality assessment (SIQA) is still a challenging task. In this paper, we propose an effic...
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Chapter and Conference Paper
An Image Quality Evaluation Method Based on Joint Deep Learning
The image quality plays a very important role in image processing. In this paper, we propose an image quality evaluation method based on joint deep learning (JDL). Specifically, deep belief networks (DBNs) and...
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Chapter and Conference Paper
Inferring User Profile Using Microblog Content and Friendship Network
With the rapid development of microblogs in recent years, accurate prediction of microblog user profiles is valuable for marketing, personalized recommendation, and legal investigation. Microblog users post ri...
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Chapter and Conference Paper
Proactive Caching for Transmission Performance in Cooperative Cognitive Radio Networks
This paper considers cooperation between the primary and secondary network via content caching. The core idea is that secondary basestation caches some popular primary files and thus directly send content to t...
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Chapter and Conference Paper
D-SVM Fusion Clustering Algorithm Based on Indoor Location
Traditional fingerprint orientation clustering algorithms often use k means clustering algorithm, but as a result of fingerprint and objective factors of volatile characteristics over time, k-means cannot ada...
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Chapter and Conference Paper
A Convolutional Attention Model for Text Classification
Neural network models with attention mechanism have shown their efficiencies on various tasks. However, there is little research work on attention mechanism for text classification and existing attention model...
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Chapter and Conference Paper
An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning
Multi-task learning (MTL) models, which pool examples arisen out of several tasks, have achieved remarkable results in language processing. However, multi-task learning is not always effective when compared wi...
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Chapter and Conference Paper
Leveraging Target-Oriented Information for Stance Classification
Classifying the stance expressed in text towards specific target, namely stance detection, is a challenging task. The biggest distinction between stance detection and ordinary sentiment classification is that ...
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Article
Negative transfer detection in transductive transfer learning
Transfer learning method has been widely used in machine learning when training data is limited. However, class noise accumulated during learning iterations can lead to negative transfer which can adversely af...
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Article
RETRACTED ARTICLE: Quality assessment for virtual reality technology based on real scene
Virtual reality technology is a new display technology, which provides users with real viewing experience. As known, most of the virtual reality display through stereoscopic images. However, image quality will...
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Chapter and Conference Paper
Topology Sensing in Wireless Networks by Leveraging Symmetrical Connectivity
With the popularization of wireless networks, the role of machine intelligence is becoming more and more important, where the core is that the network needs to make its own decisions through learning. Topology...
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Chapter and Conference Paper
Named Entity Recognition in Clinical Text Based on Capsule-LSTM for Privacy Protection
Clinical Named Entity Recognition for identifying sensitive information in clinical text, also known as Clinical De-identification, has long been critical task in medical intelligence. It aims at identifying v...
