LEADER 01234nam 2200421 450 001 9910822922303321 005 20220530194302.0 010 $a84-1324-006-9 035 $a(CKB)4100000007376916 035 $a(MiAaPQ)EBC5757257 035 $a(MiAaPQ)EBC6514482 035 $a(Au-PeEL)EBL6514482 035 $a(OCoLC)1080587024 035 $a(OCoLC)1121492916 035 $a(FlNmELB)ELB105857 035 $a(EXLCZ)994100000007376916 100 $a20220530d2018 uy 0 101 0 $aspa 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$a¿Por que? la endometriosis concierne al feminismo? /$fTasia Aranguez Sanchez 210 1$aMadrid :$cDykinson,$d[2018] 210 4$d©2018 215 $a1 online resource (129 pa?ginas) 311 $a84-9148-871-5 606 $aWomen$xEmployment$xLaw and legislation 615 0$aWomen$xEmployment$xLaw and legislation. 676 $a344.014 700 $aAranguez Sanchez$b Tasia$01632192 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822922303321 996 $a¿Por que? la endometriosis concierne al feminismo$93971164 997 $aUNINA LEADER 03694nam 22006615 450 001 9910298985003321 005 20200705003504.0 010 $a3-319-12000-X 024 7 $a10.1007/978-3-319-12000-3 035 $a(CKB)3710000000269679 035 $a(EBL)1965273 035 $a(SSID)ssj0001372369 035 $a(PQKBManifestationID)11894551 035 $a(PQKBTitleCode)TC0001372369 035 $a(PQKBWorkID)11301574 035 $a(PQKB)10199120 035 $a(MiAaPQ)EBC1965273 035 $a(DE-He213)978-3-319-12000-3 035 $a(PPN)182094804 035 $a(EXLCZ)993710000000269679 100 $a20141029d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLow-Rank and Sparse Modeling for Visual Analysis /$fedited by Yun Fu 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (240 p.) 300 $aDescription based upon print version of record. 311 $a3-319-11999-0 320 $aIncludes bibliographical references and index. 327 $aNonlinearly Structured Low-Rank Approximation -- Latent Low-Rank Representation -- Scalable Low-Rank Representation -- Low-Rank and Sparse Dictionary Learning -- Low-Rank Transfer Learning -- Sparse Manifold Subspace Learning -- Low Rank Tensor Manifold Learning -- Low-Rank and Sparse Multi-Task Learning -- Low-Rank Outlier Detection -- Low-Rank Online Metric Learning. 330 $aThis book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding, and learning among unconstrained visual data. Included in the book are chapters covering multiple emerging topics in this new field. The text links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. This book contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications. ·         Covers the most state-of-the-art topics of sparse and low-rank modeling ·         Examines the theory of sparse and low-rank analysis to the real-world practice of sparse and low-rank analysis ·         Contributions from top experts voicing their unique perspectives included throughout. 606 $aOptical data processing 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aOptical data processing. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 14$aImage Processing and Computer Vision. 615 24$aSignal, Image and Speech Processing. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a004 676 $a006.37 676 $a006.6 676 $a621.382 702 $aFu$b Yun$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298985003321 996 $aLow-Rank and Sparse Modeling for Visual Analysis$92281734 997 $aUNINA LEADER 05557nam 2200697 a 450 001 9911019157203321 005 20250204111341.0 010 $a9781118638194 010 $a1118638190 010 $a9781118567982 010 $a1118567986 010 $a9781118567951 010 $a1118567951 035 $a(OCoLC)842241124 035 $a(MiFhGG)GVRL8FKV 035 $a(CKB)2670000000353593 035 $a(MiAaPQ)EBC1180245 035 $a(MiFhGG)9781118567982 035 $a(Perlego)1002895 035 $a(EXLCZ)992670000000353593 100 $a20130506d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aValue investing in growth companies $ehow to spot high growth businesses and generate 40% to 400% investment returns /$fRusmin Ang and Victor Chng 210 $aSingapore $cWiley$d2013 215 $a1 online resource (xxiii, 216 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 08$a9781118567791 311 08$a111856779X 320 $aIncludes bibliographical references and index. 327 $aValue Investing in Growth Companies: How to Spot High Growth Businesses and Generate 40% to 400% Investment Returns; Copyright; Contents; Foreword; Preface; Rusmin Ang's Journey; Victor Chng's Journey; How We Met; Overview of the Contents; Acknowledgments; From Rusmin Ang; From Victor Chng; Chapter 1: The Making of a Value-Growth Investor; The Common Journey of New Investors; Short-Term Trading to Long-Term Investing; Growth Investors; Value Investors; Value Investors versus Growth Investors; Value-Growth Investors; Warren Buffett's Journey; Value-Growth Investors 327 $aDefinition of Growth CompaniesCommon Misconceptions about Growth Companies; Myth 1: The Higher the Growth Rate, the Better the Company; Myth 2: Fast Growers Are Companies in Fast-Growing Industries; Myth 3: You Cannot Buy Growth Companies at Bargain Prices; Myth 4: Fast Growers Are Companies That Have Small Market Capitalization; Myth 5: Small and Fast-Growing Companies Are Not Covered by Analysts and Institutions; Myth 6: Growth Companies Pay Very Little Dividend; Why Value-Growth Investing?; Capital Appreciation or Intrinsic Value Appreciation; Dividend Growth and Passive Incomes; Summary 327 $aChapter 2: The Secrets of Successful Value-Growth InvestorsHealthy Thoughts Lead to Sustainable Results; Mindset 1: Understand the Power of Compound Interest; Mindset 2: Start Young!; Mindset 3: Be a Long-Term Investor!; Mindset 4: Never Leverage to Invest in the Long Run!; Mindset 5: Exercise Independent Thinking; Mindset 6: Be Emotionally Stable; Mindset 7: Think Contrarian When Investing; Mindset 8: Understand Mr. Market (Efficient Market Theory versus Mr. Market); Summary; Chapter 3: The Jigzaw Puzzle-Four Pieces to Value-Growth Investing; The Jigsaw Puzzle Model 327 $aThe Art and Science of InvestingLooking for the Right Information; Information Released by the Company; Information from Outsiders; Summary; Chapter 4: Business-The First Piece of the Puzzle; Understand a Company's Business Model; Simple Business; Circle of Competence; Going Beyond the Limit; Competitive Advantage; Knowing the Competitors; Think Like a Customer through the Scuttle-Butting Process; Finding Future Growth Drivers; Understanding Risks-What Can Go Wrong?; Summary; Chapter 5: Management-The Second Piece of the Puzzle; Management Forms the Cornerstone of a Business 327 $aCriterion 1: TrustworthinessCriterion 2: Candid in Reporting; Criterion 3: Aligned with Shareholders' Interests; Criterion 4: Track Record/Experience; Criterion 5: Visionary Managers; Summary; Chapter 6: Numbers-The Third Piece of the Puzzle; Numbers Do Not Lie; Numbers to Look at When Reading the Income Statement; Revenue; Cost of Goods Sold; Gross Profit; Expenses; Net Profit; Earnings per Share (EPS); Numbers to Look at When Reading the Balance Sheet; Noncurrent Assets; Current Assets; Noncurrent Liabilities; Current Liabilities; Shareholders' Equity; Current Ratio; Return on Equity 327 $aDebt-to-Equity Ratio 330 $aHow to apply the value investing model to today's high-growth Asian companies This revised edition of Value Investing in Growth Companies serves as a step-by-step guide that lets investors combine the value investing and growth investing models to find excellent investment opportunities in emerging Asian companies. Though these two investing styles are very different, the authors' proprietary ""jigsaw puzzle"" model integrates them into a holistic investing approach that will help readers enjoy the kind of extraordinary results that investors like Warren Buffett or Peter Lynch 517 3 $aValue investing in growth companies :$ehow to spot high growth businesses and generate forty percent to four hundred percent investment returns 606 $aValue investing 606 $aInvestment analysis 606 $aCorporations$xValuation 606 $aStocks 615 0$aValue investing. 615 0$aInvestment analysis. 615 0$aCorporations$xValuation. 615 0$aStocks. 676 $a332.63/22 676 $a332.6322 700 $aAng$b Rusmin$01723522 701 $aChng$b Victor$01840464 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019157203321 996 $aValue investing in growth companies$94420024 997 $aUNINA