LEADER 02920nam 2200673 450 001 9910789248103321 005 20200520144314.0 010 $a1-4422-3091-6 035 $a(CKB)3710000000097040 035 $a(EBL)1660827 035 $a(SSID)ssj0001131706 035 $a(PQKBManifestationID)11663036 035 $a(PQKBTitleCode)TC0001131706 035 $a(PQKBWorkID)11146311 035 $a(PQKB)10153556 035 $a(MiAaPQ)EBC1660827 035 $a(Au-PeEL)EBL1660827 035 $a(CaPaEBR)ebr10855904 035 $a(CaONFJC)MIL586411 035 $a(OCoLC)875639841 035 $a(EXLCZ)993710000000097040 100 $a20140423h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aArchaeology of resistance $emateriality and time in an African borderland /$fAlfredo Gonza?lez-Ruibal 210 1$aLanham, Maryland :$cRowman & Littlefield,$d2014. 210 4$dİ2014 215 $a1 online resource (401 p.) 225 1 $aArchaeology in Society 300 $aDescription based upon print version of record. 311 $a1-4422-3090-8 320 $aIncludes bibliographical references and index. 327 $aContents; Acknowledgments; Introduction; Outline of the Book; Ch01. Time and Materiality; Ch02. Ecology of a Shatter Zone; Ch03. Direct Action against the State: The Gumuz; Ch04. Between Domination and Resistance: The Bertha; Ch05. Of Mimicry and Mao; Epilogue; References; Index; About the Author 330 $aAn Archaeology of Resistance: Materiality and Time in an African Borderland studies the tactics of resistance deployed by a variety of indigenous communities in the borderland between Sudan and Ethiopia.The main objective of the work is to understand the diverse forms of resistance that characterizes the borderland groups, with an emphasis on two essentially archaeological themes, materiality and time, by combining archaeological, political and social theory, ethnographic methods and historical data to examine different processes of resista 410 0$aArchaeology in Society 606 $aIndigenous peoples$zEthiopia$xPolitics and government 606 $aGovernment, Resistance to$zEthiopia 606 $aBorderlands$zAfrica, East 606 $aEthnoarchaeology$zAfrica, East 606 $aBerta (African people) 606 $aGumuz (African people)6 615 0$aIndigenous peoples$xPolitics and government. 615 0$aGovernment, Resistance to 615 0$aBorderlands 615 0$aEthnoarchaeology 615 0$aBerta (African people) 615 0$aGumuz (African people)6. 676 $a963.3 700 $aGonza?lez Ruibal$b Alfredo$01481805 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910789248103321 996 $aArchaeology of resistance$93699040 997 $aUNINA LEADER 06305nam 22008175 450 001 996466214403316 005 20220305003656.0 010 $a1-280-38813-7 010 $a9786613566058 010 $a3-642-14715-1 024 7 $a10.1007/978-3-642-14715-9 035 $a(CKB)2670000000036350 035 $a(SSID)ssj0000446519 035 $a(PQKBManifestationID)11312983 035 $a(PQKBTitleCode)TC0000446519 035 $a(PQKBWorkID)10496362 035 $a(PQKB)10515676 035 $a(DE-He213)978-3-642-14715-9 035 $a(MiAaPQ)EBC3065647 035 $a(PPN)14901824X 035 $a(EXLCZ)992670000000036350 100 $a20100819d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aHuman Behavior Understanding $eFirst International Workshop, HBU 2010, Istanbul, Turkey, August 22, 2010, Proceedings /$fedited by Albert Ali Salah, Theo Gevers, Nicu Sebe, Alessandro Vinciarelli 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (IV, 173 p. 45 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6219 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-14714-3 320 $aIncludes bibliographical references and index. 327 $aChallenges of Human Behavior Understanding -- Challenges of Human Behavior Understanding -- Analysis of Human Activities -- Understanding Macroscopic Human Behavior -- Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data -- From On-Going to Complete Activity Recognition Exploiting Related Activities -- Human Activity Recognition Using Inertial/Magnetic Sensor Units -- Non-verbal Action Dynamics -- Face Tracking and Recognition Considering the Camera?s Field of View -- Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis -- Consensus of Self-features for Nonverbal Behavior Analysis -- Visual Action Recognition -- Recognizing Human Action in the Wild -- Comparing Evaluation Protocols on the KTH Dataset -- 3D Mean-Shift Tracking of Human Body Parts and Recognition of Working Actions in an Industrial Environment -- Feature Representations for the Recognition of 3D Emblematic Gestures -- Social Signals -- Types of Help in the Teacher?s Multimodal Behavior -- Honest Signals and Their Contribution to the Automatic Analysis of Personality Traits ? A Comparative Study -- Speech Emotion Classification and Public Speaking Skill Assessment -- Dominance Signals in Debates. 330 $aIt was a great pleasure to organize the First International Workshop on Human Behavior Understanding (HBU), which took place as a satellite workshop to International Conference on Pattern Recognition (ICPR) on August 22, 2010, in Istanbul, Turkey. This workshop arose from the natural marriage of pattern recognition with the rapidly advancing area of human behavior analysis. Ouraim was to gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to pattern recognition approaches that involve multiple modalities and those that model actual dynamics of behavior. The contiguity with ICPR, one of the most important events in the p- tern recognition and machine learning communities, is expected to foster cross- pollination with other areas, for example temporal pattern mining or time - ries analysis, which share their important methodological aspects with human behavior understanding. Furthermore, the presence of this workshop at ICPR was meant to attract researchers, in particular PhD students and postdoctoral researchers, to work on the questions of human behavior understanding that is likely to play a major role in future technologies (ambient intelligence, human?robot interaction, artificial social intelligence, etc.), as witnessed by a number of research efforts aimed at collecting and annotating large sets of multi sensor data, collected from observing people in natural and often technologically challenging conditions. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6219 606 $aPattern recognition 606 $aUser interfaces (Computer systems) 606 $aComputer graphics 606 $aBiometrics (Biology) 606 $aArtificial intelligence 606 $aOptical data processing 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aPattern recognition. 615 0$aUser interfaces (Computer systems). 615 0$aComputer graphics. 615 0$aBiometrics (Biology). 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 14$aPattern Recognition. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputer Graphics. 615 24$aBiometrics. 615 24$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 676 $a006.4 702 $aSalah$b Albert Ali$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGevers$b Theo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSebe$b Nicu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVinciarelli$b Alessandro$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466214403316 996 $aHuman Behavior Understanding$92783640 997 $aUNISA