LEADER 03402oam 2200637I 450 001 9910460853003321 005 20200520144314.0 010 $a0-429-25249-8 010 $a1-4398-9778-6 024 7 $a10.1201/b11746 035 $a(CKB)3710000000391151 035 $a(EBL)1446332 035 $a(SSID)ssj0001459707 035 $a(PQKBManifestationID)12567887 035 $a(PQKBTitleCode)TC0001459707 035 $a(PQKBWorkID)11464050 035 $a(PQKB)11460516 035 $a(MiAaPQ)EBC1446332 035 $a(Au-PeEL)EBL1446332 035 $a(CaPaEBR)ebr11165986 035 $a(OCoLC)908077381 035 $a(EXLCZ)993710000000391151 100 $a20180706d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPractical crime scene processing and investigation /$fRoss M. Gardner 205 $aSecond edition. 210 1$aBoca Raton :$cCRC Press,$d2012. 215 $a1 online resource (483 p.) 225 1 $aCRC Series in Practical Aspects of Criminal and Forensic Investigations 300 $aDescription based upon print version of record. 311 $a1-4398-5302-9 320 $aIncludes bibliographical references at the end of each chapters. 327 $aFront Cover; Table of Contents; Series Note; Foreword; Preface; Acknowledgments; Contributing Authors; About the Author; Chapter 1: Introduction; Chapter 2: Understanding the Nature of Physical Evidence; Chapter 3: Actions of the Initial Responding Officer; Chapter 4: Processing Methodology; Chapter 5: Assessing the Scene; Chapter 6: Crime Scene Photography; Chapter 7: Crime Scene Sketching and Mapping; Chapter 8: Narrative Descriptions: Crime Scene Notes and Reports; Chapter 9: Basic Skills for Scene Processing; Chapter 10: Shooting Scene Documentation and Reconstruction 327 $aChapter 11: Applying Bloodstain Pattern Analysis in the Crime SceneChapter 12: The Body as a Crime Scene; Chapter 13: Special Scene Considerations; Chapter 14: The Role of Crime Scene Analysis and Reconstruction; Appendix A: Crime Scene Equipment; Appendix B: Risk Management; Back Cover 330 $aIntroduction Police Goals and Objectives Evidence Defined The Interpretive Value of EvidenceGood Crime Scene Examinations and Scene Integrity Issues Investigative Ethics Understanding the Nature of Physical Evidence Class and Individual Characteristics Fingerprint Evidence Serology and Biological Evidence Trace Evidence Hairs and Fibers Glass Paints and Polymers Soils Gunshot Residues (GSRs) Firearm and Ballistic Evidence Tool Mark Evidence Impression EvidenceGeneral Chemical Evidence Document Evidence Computer Forensics Forensic Pathology Actions of the Initial Responding Officer Specific Obj 410 0$aCRC series in practical aspects of criminal and forensic investigations. 606 $aCrime scene searches 606 $aCriminal investigation 606 $aEvidence, Criminal 608 $aElectronic books. 615 0$aCrime scene searches. 615 0$aCriminal investigation. 615 0$aEvidence, Criminal. 676 $a363.252 700 $aGardner$b Ross M$0892114 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460853003321 996 $aPractical crime scene processing and investigation$91992309 997 $aUNINA LEADER 06991nam 22007095 450 001 996465964003316 005 20221028192321.0 024 7 $a10.1007/b107037 035 $a(CKB)1000000000212882 035 $a(SSID)ssj0000317983 035 $a(PQKBManifestationID)11923565 035 $a(PQKBTitleCode)TC0000317983 035 $a(PQKBWorkID)10295493 035 $a(PQKB)10400211 035 $a(DE-He213)978-3-540-31988-7 035 $a(MiAaPQ)EBC3067845 035 $a(PPN)123093066 035 $a(EXLCZ)991000000000212882 100 $a20100709d2005 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGraph-Based Representations in Pattern Recognition$b[electronic resource] $e5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings /$fedited by Luc Brun, Mario Vento 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XII, 384 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3434 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrinted edition: 9783540252702 320 $aIncludes bibliographical references and index. 327 $aGraph Representations -- Hypergraph-Based Image Representation -- Vectorized Image Segmentation via Trixel Agglomeration -- Graph Transformation in Document Image Analysis: Approaches and Challenges -- Graphical Knowledge Management in Graphics Recognition Systems -- A Vascular Network Growth Estimation Algorithm Using Random Graphs -- Graphs and Linear Representations -- A Linear Generative Model for Graph Structure -- Graph Seriation Using Semi-definite Programming -- Comparing String Representations and Distances in a Natural Images Classification Task -- Reduction Strings: A Representation of Symbolic Hierarchical Graphs Suitable for Learning -- Combinatorial Maps -- Representing and Segmenting 2D Images by Means of Planar Maps with Discrete Embeddings: From Model to Applications -- Inside and Outside Within Combinatorial Pyramids -- The GeoMap: A Unified Representation for Topology and Geometry -- Pyramids of n-Dimensional Generalized Maps -- Matching -- Towards Unitary Representations for Graph Matching -- A Direct Algorithm to Find a Largest Common Connected Induced Subgraph of Two Graphs -- Reactive Tabu Search for Measuring Graph Similarity -- Tree Matching Applied to Vascular System -- Hierarchical Graph Abstraction and Matching -- A Graph-Based, Multi-resolution Algorithm for Tracking Objects in Presence of Occlusions -- Coarse-to-Fine Object Recognition Using Shock Graphs -- Adaptive Pyramid and Semantic Graph: Knowledge Driven Segmentation -- A Graph-Based Concept for Spatiotemporal Information in Cognitive Vision -- Inexact Graph Matching -- Approximating the Problem, not the Solution: An Alternative View of Point Set Matching -- Defining Consistency to Detect Change Using Inexact Graph Matching -- Asymmetric Inexact Matching of Spatially-Attributed Graphs -- From Exact to Approximate Maximum Common Subgraph -- Learning -- Automatic Learning of Structural Models of Cartographic Objects -- An Experimental Comparison of Fingerprint Classification Methods Using Graphs -- Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition -- Graph Sequences -- Decision Trees for Error-Tolerant Graph Database Filtering -- Recovery of Missing Information in Graph Sequences -- Tree-Based Tracking of Temporal Image -- Graph Kernels -- Protein Classification with Kernelized Softassign -- Local Entropic Graphs for Globally-Consistent Graph Matching -- Edit Distance Based Kernel Functions for Attributed Graph Matching -- Graphs and Heat Kernels -- A Robust Graph Partition Method from the Path-Weighted Adjacency Matrix -- Recent Results on Heat Kernel Embedding of Graphs. 330 $aMany vision problems have to deal with different entities (regions, lines, line junctions, etc.) and their relationships. These entities together with their relationships may be encoded using graphs or hypergraphs. The structural information encoded by graphs allows computer vision algorithms to address both the features of the different entities and the structural or topological relationships between them. Moreover, turning a computer vision problem into a graph problem allows one to access the full arsenal of graph algorithms developed in computer science. The Technical Committee (TC15, http://www.iapr.org/tcs.html) of the IAPR (International Association for Pattern Recognition) has been funded in order to federate and to encourage research work in these fields. Among its - activities, TC15 encourages the organization of special graph sessions at many computer vision conferences and organizes the biennial workshop GbR. While being designed within a specific framework, the graph algorithms developed for computer vision and pattern recognition tasks often share constraints and goals with those developed in other research fields such as data mining, robotics and discrete geometry. The TC15 community is thus not closed in its research fields but on the contrary is open to interchanges with other groups/communities. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3434 606 $aPattern recognition 606 $aOptical data processing 606 $aComputer graphics 606 $aComputer science?Mathematics 606 $aData structures (Computer science) 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 606 $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aComputer graphics. 615 0$aComputer science?Mathematics. 615 0$aData structures (Computer science). 615 14$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aComputer Graphics. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aData Structures. 676 $a006.4 702 $aBrun$b Luc$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVento$b Mario$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465964003316 996 $aGraph-Based Representations in Pattern Recognition$9772063 997 $aUNISA LEADER 01853oam 2200457 450 001 9910706969803321 005 20180827155457.0 035 $a(CKB)5470000002459778 035 $a(OCoLC)1030877744 035 $a(EXLCZ)995470000002459778 100 $a20180409d2018 ua 0 101 0 $aeng 135 $aurbn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aContinuation of the national emergency with respect to Somalia $ecommunication from the President of the United States : transmitting notification that the national emergency with respect to Somalia, originally declared on April 12, 2010, by Executive Order 13536, is to continue in effect beyond April 12, 2018, pursuant to 50 U.S.C. 1622(d); Public law 94- 412, Sec. 202(d); (90 Stat. 1257) 210 1$aWashington :$cU.S. Government Publishing Office,$d2018. 215 $a1 online resource (3 pages) 225 1 $aHouse document / 115th Congress, 1st session ;$v115-110 300 $a"Referred to the Committee on Foreign Affairs." 300 $a"April 5, 2018." 517 $aContinuation of the national emergency with respect to Somalia 606 $aEconomic sanctions, American$zSomalia 607 $aUnited States$xForeign relations$zSomalia 607 $aSomalia$xForeign relations$zUnited States 608 $aLegislative materials.$2lcgft 615 0$aEconomic sanctions, American 702 $aTrump$b Donald$f1946- 712 02$aUnited States.$bCongress.$bHouse.$bCommittee on Foreign Affairs, 801 0$bGPO 801 1$bGPO 801 2$bGPO 801 2$bOCLCF 801 2$bMERUC 801 2$bUOK 801 2$bGPO 906 $aBOOK 912 $a9910706969803321 996 $aContinuation of the national emergency with respect to Somalia$93443679 997 $aUNINA LEADER 01786nam 2200445 a 450 001 9910697493703321 005 20080821142509.0 035 $a(CKB)5470000002388001 035 $a(OCoLC)244250482 035 $a(EXLCZ)995470000002388001 100 $a20080821d2008 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSurface transportation$b[electronic resource] $eprinciples can guide efforts to restructure and fund federal programs : testimony before the Committee on Finance, U.S. Senate /$fstatement of Jayetta Z. Hecker 210 1$a[Washington, D.C.] :$cU.S. Govt. Accountability Office,$d[2008] 215 $a29 pages $cdigital, PDF file 225 1 $aTestimony ;$vGAO-08-744 T 300 $aTitle from title screen (viewed on Aug. 14, 2008). 300 $a"For release ... July 10, 2008." 300 $aPaper version available from: U.S. Govt. Accountability Office, 441 G St., NW, Rm. LM, Washington, D.C. 20548. 320 $aIncludes bibliographical references. 517 $aSurface transportation 606 $aTransportation$zUnited States$xPlanning 606 $aFederal aid to transportation$zUnited States 606 $aPublic-private sector cooperation$zUnited States 615 0$aTransportation$xPlanning. 615 0$aFederal aid to transportation 615 0$aPublic-private sector cooperation 700 $aHecker$b JayEtta Z$01380711 712 02$aUnited States.$bCongress.$bSenate.$bCommittee on Finance. 712 02$aUnited States.$bGovernment Accountability Office. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910697493703321 996 $aSurface transportation$93479468 997 $aUNINA