15 Result(s)
within
Information Systems Applications (incl. Internet)
Pattern Recognition
**-cheng Huang
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Chapter and Conference Paper
3D Object Completion via Class-Conditional Generative Adversarial Network
Many robotic tasks require accurate shape models in order to properly grasp or interact with objects. However, it is often the case that sensors produce incomplete 3D models due to several factors such as occl...
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Chapter and Conference Paper
What Catches Your Eyes as You Move Around? On the Discovery of Interesting Regions in the Street
Interesting regions are defined as parts of street view scenes that can attract people’s interests when they are moving on the road, and play an important role in various daily-life scenarios. In this paper, t...
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Chapter and Conference Paper
Locality Constrained Sparse Representation for Cat Recognition
Cat (Felis catus) plays an important social role within our society and can provide considerable emotional support for their owners. Missing, swap**, theft, and false insurance claims of cat have become global ...
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Chapter and Conference Paper
Influence Spread Evaluation and Propagation Rebuilding
In social networks, studies about influence maximization mainly focus on the algorithm of finding seed nodes, but ignore the intrinsic properties of influence propagation. In this paper, we consider the relati...
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Chapter and Conference Paper
The Visual Object Tracking VOT2014 Challenge Results
The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. T...
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Chapter and Conference Paper
Wonders of Seabed: Difficulty Evaluation of Management Games Using Neural Network
In management games, players enjoy develo** the virtual objects, such as avatars, farms, villages, cities, resources, etc. Usually, the management games do not have a time limit to play. Players know little ...
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Chapter and Conference Paper
Human Action Search Based on Dynamic Shape Volumes
In this paper, an interactive system for human action video search is developed based on the dynamic shape volumes. The user is allowed to create a search query by freely and continuously posing any number of ...
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Chapter and Conference Paper
Minimum Risk Neural Networks and Weight Decay Technique
To enhance the generalization of neural network model, we proposed a novel neural network, Minimum Risk Neural Networks (MRNN), whose principle is the combination of minimizing the sum of squares of error and ...
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Chapter and Conference Paper
Human Daily Action Analysis with Multi-view and Color-Depth Data
Improving human action recognition in videos is restricted by the inherent limitations of the visual data. In this paper, we take the depth information into consideration and construct a novel dataset of human...
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Chapter and Conference Paper
U-Drumwave: An Interactive Performance System for Drumming
In this paper, we share our experience of applying the modern multimedia technologies to the traditional performing art in a drumming performance project, U-Drumwave. By deploying an interactive system on the ...
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Chapter and Conference Paper
Prediction of Essential Genes by Mining Gene Ontology Semantics
Essential genes are indispensable for an organism’s living. These genes are widely discussed, and many researchers proposed prediction methods that not only find essential genes but also assist pathogens disco...
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Chapter and Conference Paper
An Extended Set of Haar-like Features for Bird Detection Based on AdaBoost
As Adaboost is an efficient method to select features, we investigate its capability in selecting effective features from a set of Haar-like features for bird detection. Moreover, Adaboost is also used to cons...
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Chapter and Conference Paper
Effective Color-Difference-Based Interpolation Algorithm for CFA Image Demosaicking
This paper proposes an effective color-difference-based (ECDB) interpolation algorithm for CFA Image demosaicking. A CFA image consists of a set of spectrally selective filters which are arranged in an interle...
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Chapter and Conference Paper
Solution Space of Perceptron
Any point in the solution space of a perceptron can classify the training data correctly. Two kinds of the solution space, one in the weight space and the other in the input space, have been devised. This work...
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Chapter and Conference Paper
A Gradational Reduction Approach for Mining Sequential Patterns
The technology of data mining is more important in recent years, and it is generally applied to commercial forecast and decision supports. Sequential pattern mining algorithms in the field of data mining play ...
