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Chapter and Conference Paper
High Capacity Reversible Data Hiding with Contrast Enhancement
Reversible data hiding aims at recovering exactly the cover image from the marked image after extracting the hidden data. Reversible data hiding with contrast enhancement proposed by Wu et al. achieved a good eff...
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Chapter and Conference Paper
Design of Internet Rehabilitation Service System with Individual Assessment Data for Autistic Children
As a subtype of pervasive development disorder, autism has unknown cause of disease and no completely rehabilitated cases to date. However, in the golden intervention period from 2 to 6 years old, scientific r...
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Chapter and Conference Paper
PreNet: Parallel Recurrent Neural Networks for Image Classification
Convolutional Neural Networks (CNNs) have made outstanding achievements in computer vision, e.g., image classification and object detection, by modelling the receptive field of visual cortex with convolution a...
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Chapter and Conference Paper
Relevance and Coherence Based Image Caption
The attention-based image caption framework has been widely explored in recent years. However, most techniques generate next word conditioned on previous words and current visual contents, while the relationsh...
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Chapter and Conference Paper
Image Forgery Detection Based on Semantic Image Understanding
Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based...
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Chapter and Conference Paper
Survey on Campus Landscape Construction and Study on Suitability Comprehensive Evaluation
Scientific and rational designing and construction of green infrastructure is an important part of the sustainable urbanization of China. In view of this, deeper insights into the actual condition of campus la...
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Chapter and Conference Paper
Identifying Appraisal Expressions of Online Reviews in Chinese
With the development of Web2.0 technology, an increasing number of consumers are giving comments on products over the Internet, thus opinion mining rises in response to the requirement of retrieving valuable i...
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Chapter and Conference Paper
Collecting Valuable Information from Fast Text Streams
It has become a challenging work to collect valuable information from fast text streams. In this work, we propose a method which gains useful information effectively and efficiently. Firstly, we maintain an an...
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Chapter and Conference Paper
Incremental Sensor Placement Optimization on Water Network
Sensor placement on water networks is critical for the detection of accidental or intentional contamination event. With the development and expansion of cities, the public water distribution systems in cities ...
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Chapter and Conference Paper
Test-Enabled Architecture for IoT Service Creation and Provisioning
The information generated from the Internet of Things (IoT) potentially enables a better understanding of the physical world for humans and supports creation of ambient intelligence for a wide range of applicatio...
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Chapter and Conference Paper
Which Topic Will You Follow?
Who are the most appropriate candidates to receive a call-for-paper or call-for-participation? What session topics should we propose for a conference of next year? To answer these questions, we need to precise...
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Chapter and Conference Paper
Inferring Geographic Coincidence in Ephemeral Social Networks
We study users’ behavioral patterns in ephemeral social networks, which are temporarily built based on events such as conferences. From the data distribution and social theory perspectives, we found several in...
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Chapter and Conference Paper
Workshop Organizers’ Message
The DASFAA PhD workshop will be held in Brisbane, Australia on 22 April, 2009, in conjunction with the DASFAA 2009 conference. The workshop is the first in its series and aims to bring together PhD students wo...
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Chapter and Conference Paper
Generalized Rake Receiver for Spreading-IFDMA Systems
Spreading-Interleaved Frequency Division Multiple Access (IFDMA) providing code domain multiplexing for one IFDMA channel shows improved spectrum efficiency and good compatibility with CDMA systems while maint...
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Chapter
Automatic Annotation and Retrieval of Images
We propose a novel approach for semantics-based image annotation and retrieval. Our approach is based on monotonic tree, a derivation of contour tree for discrete data. Monotonic tree provides a way to bridge ...