17 results for “Dimension Reduction”

Set a search alert

Research ArticleOpen accessIn the abstractBRAIN TUMOR CLASSIFICATION BASED ON CLUSTERED DISCRETE COSINE TRANSFORM IN COMPRESSED DOMAINV. Anitha, S. MurugavalliThis study presents a novel method to classify the brain tumors by means of efficient and integrated methods so as to increase the classification accuracy. In conventional systems, the problem being the same to extract the feature sets from the database and classify tumors based on the features sets. The main idea in plethora of earlier researches related to any … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 7,532 accessesView PDF Cite

Research ArticleOpen accessIn the abstractTHE ROLE OF FINANCIAL INSTRUMENTS ON THE GROWTH OF ITALIAN SOCIAL COOPERATIVESFrancesco Agliata, Caterina Ferrone, Danilo TuccilloThe Third Sector in Italy records a slow but constant growth due to the increase of the number of entities but not of their dimension. The difficulties in financial management, generated by a low attraction of debt and equity financial resources and a low level of managerial skills characterized the non profit organizations. Focused on the social cooperatives, the article … …American Journal of Economics and Business Administration, Vol. 6, Issue 1 · 5 May 2014 · 8,925 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Reduction Algorithm for Analysis of Linear NeuronMohammad Dweib, Yousef AbuzirProblem statement: The aim of feature selection is to select a feature set that is relevant for a given application. Feature selection is complex and remains an important issue in many domains. In the field of neural networks, feature selection has been used in many applications and their methods have been employed. In this study we present neural network approaches … …Journal of Computer Science, Vol. 8, Issue 4 · 2 Feb 2012 · 6,840 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFace Biometrics Based on Principal Component Analysis and Linear Discriminant AnalysisLih-Heng Chan, Sh-Hussain Salleh, Chee-Ming TingProblem statement: In facial biometrics, face features are used as the required human traits for automatic recognition. Feature extracted from face images are significant for face biometrics system performance. Approach: In this thesis, a framework of facial biometric was designed based on two subspace methods i.e., Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). First, PCA is used for … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,664 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThermal-Mechanical Analysis of a Different Leadframe Thickness of Semiconductor Package under the Reflow ProcessS. Abdullah, M. F. Abdullah, A. K. Ariffin, A. JalarThe copper-based leadframe is practically proven effective in the thermal and reliability of a Quad Flat No Lead (QFN) three dimension (3D) stacked-die semiconductor package. Reducing the copper thickness is understood to present various thermal and reliability failure mode and mechanisms, such as die cracking and delamination. However, no in-depth study has been pursued in order to determine the capability … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 7,715 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBorderline Personality Symptoms and Human Immunodeficiency Virus Risk in Alcohol and Other Drug Abusing Adolescent OffendersJessy G. Dévieux, Robert M. Malow, Rhonda Rosenberg et al.Problem statement: Incarcerated youth with borderline symptomatology represent a particularly at risk-population due to their enggement in risky behaviors. Five hundred twenty two adolescents were assessed for borderline symptomatology (MACI), engagement in risky behaviors and attitudes/knowledge. Approach:Adolescents were divided into two groups: low borderline (below the 60 scale score cutoff) and high borderline (subclinical and clinical range). Multivariate analyses were … …American Journal of Infectious Diseases, Vol. 5, Issue 1 · 31 Mar 2009 · 7,814 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAn integrated Framework Based on Texture Features, Cuckoo Search and Relevance Vector Machine for Medical Image Retrieval SystemYogapriya Jaganathan, Ila VennilaAs medical images are widely used in healthcare applications, Content Based Medical Image Retrieval (CBMIR) system is needed for physicians to convey effective decisions to patients and for medical research students to learn imaging characteristics for their extensive research based on visual features. However the performance of the retrieval is restricted due to high feature dimensionality of visual features. To … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 24 Sep 2013 · 6,878 accessesView PDF Cite