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Chapter and Conference Paper
An Efficient Approach to Wireless Firmware Update Based on Erasure Correction Coding
Updating the firmware of the deployed nodes in a large sensor network can be time consuming and challenging. One way to perform these updates is through an over-the-air (OTA) protocol that utilizes repeated ro...
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Chapter and Conference Paper
A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds
DDoS and Flash Crowds are always difficult to distinguish. In order to solve this issue, this paper concluded a new feature set to profile the behaviors of legitimate users and Bots, and proposed an idea emplo...
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Chapter and Conference Paper
A Confidence Weighted Real-Time Depth Filter for 3D Reconstruction
3D reconstruction is an important technique in the environmental perception and rehabilitation process. With the help of active depth-aware sensors, such as Kinect from Microsoft and SwissRanger, the depth map...
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Chapter and Conference Paper
Formalizing the Matrix Inversion Based on the Adjugate Matrix in HOL4
This paper presents the formalization of the matrix inversion based on the adjugate matrix in the HOL4 system. It is very complex and difficult to formalize the adjugate matrix, which is composed of matrix cof...
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Chapter and Conference Paper
Multipath Convolutional-Recursive Neural Networks for Object Recognition
Extracting good representations from images is essential for many computer vision tasks. While progress in deep learning shows the importance of learning hierarchical features, it is also important to learn fe...
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Chapter and Conference Paper
The Retrieval of Shoeprint Images Based on the Integral Histogram of the Gabor Transform Domain
Shoeprint images which are extracted at the scene of cases are a kind of important modern forensic clue and evidence. Retrieving the images of the same or the similar shoeprint images from the database quickly...
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Chapter and Conference Paper
Research on the Representation Methods for Rough Knowledge
Now there exists a lot of information from Internet and the information implies abundant knowledge. But the information is usually uncertain, imprecise, incomplete, coarse, and vague. So it is very difficult t...
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Chapter and Conference Paper
Automatic Image Annotation and Retrieval Using Hybrid Approach
We firstly propose continuous probabilistic latent semantic analysis (PLSA) to model continuous quantity. In addition, corresponding Expectation-Maximization (EM) algorithm is derived to determine the model pa...
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Chapter and Conference Paper
A Novel Model for Semantic Learning and Retrieval of Images
In this paper, we firstly propose an extended probabilistic latent semantic analysis (PLSA) to model continuous quantity. In addition, corresponding EM algorithm is derived to determine the parameters. Then, w...
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Chapter and Conference Paper
Simulation of Skip-Glide Trajectory for Hypersonic Vehicle in Near Space
The periodic skip-glide trajectory models for hypersonic vehicle in near space were brought out and simulated in this paper. Firstly, the basic concepts of hypersonic vehicle and different trajectory modes wer...
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Chapter and Conference Paper
Gait and Stability Analysis of a Quadruped Robot
In the multi-legged robot research, a challenging task is to manage its walking balance. This paper presents the gait and stability analysis of a simple quadruped robot. First, a quadruped robot which consists...
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Chapter and Conference Paper
Using Global Statistics to Rank Retrieval Systems without Relevance Judgments
How to reduce the amount of relevance judgments is an important issue in retrieval evaluation. In this paper, we propose a novel method using global statistics to rank retrieval systems without relevance judgm...
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Chapter and Conference Paper
An Efficient Coding Model for Image Representation
The role of early sensory neurons is to remove statistical redundancy in the sensory input. In this paper, we propose a novel efficient coding model combining sparse coding strategy and selective attention str...
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Chapter and Conference Paper
Personalized Fingerprint Segmentation
Fingerprint segmentation is an important pre-processing step in automatic fingerprint identification system. Traditional fingerprint segmentation methods either highly depend on empirical thresholds sophistica...