@Inproceedings{Arteta_2013_17082,
  author = {Arteta, C. and Lempitsky, V. and Noble, J. A. and Zisserman, A.},
 address = {Portland, OR},
 booktitle = {Proc. IEEE Conference on Computer Vision and Pattern Recognition },
 month = {June},
 pages = {3230-3237},
 title = {Learning to detect partially overlapping instances},
 year = {2013},
 issn = {1063-6919},
 keywords = {dynamic programming;image classification;inference mechanisms;object detection;pattern clustering;support vector machines;trees (mathematics);UCSD pedestrians;dynamic programming;fluorescence microscopy images;global classification score;inference;object detection;object tuples;partially overlapping instance clustering;partially overlapping instance detection;structured output SVM framework;tree structured region graph;Dynamic programming;Estimation;Microscopy;Optimization;Standards;Training;Vectors},
 title_with_no_special_chars = {Learning to Detect Partially Overlapping Instances}
}

{"_id":"dityPBEKFPtBTmX7F","bibbaseid":"arteta-lempitsky-noble-zisserman-learningtodetectpartiallyoverlappinginstances-2013","downloads":0,"creationDate":"2018-01-22T16:01:13.415Z","title":"Learning to detect partially overlapping instances","author_short":["Arteta, C.","Lempitsky, V.","Noble, J. A.","Zisserman, A."],"year":2013,"bibtype":"inproceedings","biburl":"http://www.uh.edu/bti/_files/bibsync_export2018-01-19.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Arteta"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Lempitsky"],"firstnames":["V."],"suffixes":[]},{"propositions":[],"lastnames":["Noble"],"firstnames":["J.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Zisserman"],"firstnames":["A."],"suffixes":[]}],"address":"Portland, OR","booktitle":"Proc. IEEE Conference on Computer Vision and Pattern Recognition ","month":"June","pages":"3230-3237","title":"Learning to detect partially overlapping instances","year":"2013","issn":"1063-6919","keywords":"dynamic programming;image classification;inference mechanisms;object detection;pattern clustering;support vector machines;trees (mathematics);UCSD pedestrians;dynamic programming;fluorescence microscopy images;global classification score;inference;object detection;object tuples;partially overlapping instance clustering;partially overlapping instance detection;structured output SVM framework;tree structured region graph;Dynamic programming;Estimation;Microscopy;Optimization;Standards;Training;Vectors","title_with_no_special_chars":"Learning to Detect Partially Overlapping Instances","bibtex":"@Inproceedings{Arteta_2013_17082,\r\n author = {Arteta, C. and Lempitsky, V. and Noble, J. A. and Zisserman, A.},\r\n address = {Portland, OR},\r\n booktitle = {Proc. IEEE Conference on Computer Vision and Pattern Recognition },\r\n month = {June},\r\n pages = {3230-3237},\r\n title = {Learning to detect partially overlapping instances},\r\n year = {2013},\r\n issn = {1063-6919},\r\n keywords = {dynamic programming;image classification;inference mechanisms;object detection;pattern clustering;support vector machines;trees (mathematics);UCSD pedestrians;dynamic programming;fluorescence microscopy images;global classification score;inference;object detection;object tuples;partially overlapping instance clustering;partially overlapping instance detection;structured output SVM framework;tree structured region graph;Dynamic programming;Estimation;Microscopy;Optimization;Standards;Training;Vectors},\r\n title_with_no_special_chars = {Learning to Detect Partially Overlapping Instances}\r\n}\r\n\r\n","author_short":["Arteta, C.","Lempitsky, V.","Noble, J. A.","Zisserman, A."],"key":"Arteta_2013_17082","id":"Arteta_2013_17082","bibbaseid":"arteta-lempitsky-noble-zisserman-learningtodetectpartiallyoverlappinginstances-2013","role":"author","urls":{},"keyword":["dynamic programming;image classification;inference mechanisms;object detection;pattern clustering;support vector machines;trees (mathematics);UCSD pedestrians;dynamic programming;fluorescence microscopy images;global classification score;inference;object detection;object tuples;partially overlapping instance clustering;partially overlapping instance detection;structured output SVM framework;tree structured region graph;Dynamic programming;Estimation;Microscopy;Optimization;Standards;Training;Vectors"],"downloads":0},"search_terms":["learning","detect","partially","overlapping","instances","arteta","lempitsky","noble","zisserman"],"keywords":["dynamic programming;image classification;inference mechanisms;object detection;pattern clustering;support vector machines;trees (mathematics);ucsd pedestrians;dynamic programming;fluorescence microscopy images;global classification score;inference;object detection;object tuples;partially overlapping instance clustering;partially overlapping instance detection;structured output svm framework;tree structured region graph;dynamic programming;estimation;microscopy;optimization;standards;training;vectors"],"authorIDs":[],"dataSources":["9cexBw6hrwgyZphZZ"]}