[ { "key": "FS6SM947", "version": 1, "library": { "type": "group", "id": 720, "name": "Artificial Intelligence", "links": { "alternate": { "href": "https://www.zotero.org/groups/artificial_intelligence", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/720/items/FS6SM947", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/artificial_intelligence/items/FS6SM947", "type": "text/html" } }, "meta": { "createdByUser": { "id": 24712, "username": "tofighi", "name": "Ghassem Tofighi", "links": { "alternate": { "href": "https://www.zotero.org/tofighi", "type": "text/html" } } }, "creatorSummary": "Zonghua Zhang and Troje", "parsedDate": "2004", "numChildren": 0 }, "data": { "key": "FS6SM947", "version": 1, "itemType": "conferencePaper", "title": "3D Periodic Human Motion Reconstruction from 2D Motion Sequences", "creators": [ { "creatorType": "author", "firstName": "", "lastName": "Zonghua Zhang" }, { "creatorType": "author", "firstName": "N.F.", "lastName": "Troje" } ], "abstractNote": "In this report, we present and evaluate a method of reconstructing three-dimensional (3D) periodic human motion from two-dimensional (2D) motion sequences. Based on a Fourier decomposition of a training set of 3D data, we construct a linear, morphable representation. Using this representation a low-dimensional linear model is learned by means of Principle Component Analysis (PCA). Two-dimensional test data are now projected onto this model and the resulting 3D reconstructions are evaluated. We present two different simulations. In the first experiment, we assume the 2D projection matrix to be known. In the second experiment, the horizontal viewpoint is unknown and is being recovered from the data.", "proceedingsTitle": "Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on", "conferenceName": "Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on", "publisher": "", "place": "", "date": "2004", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "186", "series": "", "seriesNumber": "", "DOI": "10.1109/CVPR.2004.2", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "IEEE Xplore", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "0016", "rights": "", "extra": "", "tags": [], "collections": [ "NQVVTFXR" ], "relations": {}, "dateAdded": "2010-03-07T12:21:21Z", "dateModified": "2012-06-07T18:52:14Z" } }, { "key": "AI8CTGE9", "version": 1, "library": { "type": "group", "id": 720, "name": "Artificial Intelligence", "links": { "alternate": { "href": "https://www.zotero.org/groups/artificial_intelligence", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/720/items/AI8CTGE9", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/artificial_intelligence/items/AI8CTGE9", "type": "text/html" } }, "meta": { "createdByUser": { "id": 24712, "username": "tofighi", "name": "Ghassem Tofighi", "links": { "alternate": { "href": "https://www.zotero.org/tofighi", "type": "text/html" } } }, "creatorSummary": "Minsky", "parsedDate": "2007-11-13", "numChildren": 1 }, "data": { "key": "AI8CTGE9", "version": 1, "itemType": "book", "title": "The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind", "creators": [ { "creatorType": "author", "firstName": "Marvin", "lastName": "Minsky" } ], "abstractNote": "", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "", "date": "2007-11-13", "publisher": "Simon & Schuster", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "numPages": "", "ISBN": "0743276647", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "The Emotion Machine", "language": "", "libraryCatalog": "Amazon.com", "callNumber": "0476", "rights": "", "extra": "", "tags": [], "collections": [ "NQVVTFXR" ], "relations": {}, "dateAdded": "2010-03-07T12:48:35Z", "dateModified": "2012-06-07T18:52:13Z" } }, { "key": "74HRNDU4", "version": 1, "library": { "type": "group", "id": 720, "name": "Artificial Intelligence", "links": { "alternate": { "href": "https://www.zotero.org/groups/artificial_intelligence", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/720/items/74HRNDU4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/artificial_intelligence/items/74HRNDU4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 24712, "username": "tofighi", "name": "Ghassem Tofighi", "links": { "alternate": { "href": "https://www.zotero.org/tofighi", "type": "text/html" } } }, "creatorSummary": "Chengwei Yao and Gencai Chen", "parsedDate": "2001", "numChildren": 0 }, "data": { "key": "74HRNDU4", "version": 1, "itemType": "conferencePaper", "title": "A emotion development agent model based on OCC model and operant conditioning", "creators": [ { "creatorType": "author", "firstName": "", "lastName": "Chengwei Yao" }, { "creatorType": "author", "firstName": "", "lastName": "Gencai Chen" } ], "abstractNote": "Emotions have been shown to have a significant influence on the\ndecision-making process of human beings and, thus, play an important\nrole in intelligent behavior. But it is the problem how intelligent\nsystems obtain the abilities of emotions such as recognizing, expressing\nand reasoning emotions. Our viewpoint is that emotions should be\ndeveloped in the activities of interaction, which occur between\nintelligent system and environment. The environment can be users or\nother agents. To cater to this point, we propose an agent model of\nemotion development. The agent model is based on the OCC model and\noperant conditioning theory. We define a set of functions based on OCC\nmodel to search the emotional state-space graph. At the same time, we\ngive the algorithm of operant conditions procedure. With user interface\nand manager interface, the agent will get the input of stimulus, which\nmay be the feedback of its actions. Then through the process of operant\nconditioning functions, and generalize the emotional knowledge. After\nreplays the procedure again and again, it will try to obtain the\nabilities of emotions", "proceedingsTitle": "Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on", "conferenceName": "Info-tech and Info-net, 2001. Proceedings. 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