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285 articles for “Datasets”

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Research ArticleOpen accessIn the abstractHand Gesture Recognition for Human-Computer InteractionS. Mohamed Mansoor Roomi, R. Jyothi Priya, H. JayalakshmiProblem statement: With the development of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the useable command set is also limited. Direct use of hands can be used as an input device for providing natural interaction. Approach: In this study, Gaussian Mixture Model (GMM) was used to … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 8,311 accessesView PDFCite
Research ArticleOpen accessIn the abstractPan Correction through Overlap Estimation in a Multi-Camera EnvironmentS. Mohamed Mansoor Roomi, V. Manojkumar, M. SenthilarasiProblem statement: Multiple cameras are employed for surveillance of larger environment. In such a case there is a need to maintain overlap in the adjacent cameras for correct object registration. Overlap may get disturbed by natural or manual factors. This study proposed an automatic camera pan correction by determining the area of overlap from multi-view images. Approach: A closed loop … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Motion Learning for a Humanoid Robotic Ping-Pong Player Using a Novel Motion Capture SystemC. H. Lai, T.I. James TsayProblem statement: Human ping-pong players determine the stroke trajectory according to their experience before the ball enters their court. However, to enable a humanoid robot to select the appropriate stroke motion based on skills learned from 3D motion, important patterns must be generated to simplify the complex 3D motion. Approach: This study developed an effective strategy for teaching ping-pong skills … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,382 accessesView PDFCite
Research ArticleOpen accessIn the abstractFish Recognition Based on Robust Features Extraction from Size and Shape Measurements Using Neural NetworkMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Noah, Ibrahim AlmarashdehProblem statement: Image recognition is a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 6, Issue 10 · 5 Aug 2010 · 9,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Speaker Recognition: Babylon Levantine Subset Case StudyMansour Alsulaiman, Youssef Alotaibi, Muhammad Ghulam et al.Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable to the public. In this study we would like to investigate Arabic speaker recognition using a publically available database, namely Babylon Levantine available from the Linguistic Data Consortium (LDC). Approach: Among the different methods for speaker recognition we focus on Hidden Markov Models (HMM). We studied the … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,243 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Derivative-Free Optimization Method for Solving Classification ProblemParvaneh Shabanzadeh, Malik Abu Hassan, Wah June LeongProblem statement: The aim of data classification is to establish rules for the classification of some observations assuming that we have a database, which includes of at least two classes. There is a training set for each class. Those problems occur in a wide range of human activity. One of the most promising ways to data classification is based on … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle Pass Seed Selection Algorithm for k-MeansK. Karteeka Pavan, Allam Appa Rao, A.V. Dattatreya Rao, G. R. SridharProblem statement: The k-means method is one of the most widely used clustering techniques for various applications. However, the k-means often converges to local optimum and the result depends on the initial seeds. Inappropriate choice of initial seeds may yield poor results. k-means++ is a way of initializing k-means by choosing initial seeds with specific probabilities. Due to the random … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractLoad Allocation Model for Scheduling Divisible Data Grid ApplicationsMonir Abdullah, Mohamed Othman, Hamidah Ibrahim, Shamala SubramaniamProblem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling models had been studied … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet-Based Geometry Coding for Three Dimensional Mesh Using Space Frequency QuantizationShymaa T. El-Leithy, Walaa M. ShetaProblem statement: Recently, 3D objects have been used in several applications like internet games, virtual reality and scientific visualization. These applications require real time rendering and fast transmission of large objects through internet. However, due to limitation of bandwidth, the compression and streaming of 3D object is still an open research problem. Approach: Novel procedure for compression and coding of … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 6,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Performance Study of Improved Heap Sort Algorithm on Different HardwareVandana Sharma, Satwinder Singh, K. S. KahlonProblem statement: Several efficient algorithms were developed to cope with the popular task of sorting. Improved heap sort is a new variant of heap sort. Basic idea of new algorithm is similar to classical Heap sort algorithm but it builds heap in another way. The improved heap sort algorithm requires nlogn-0.788928n comparisons for worst case and nlogn-n comparisons in average … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,824 accessesView PDFCite