Publication Information

{'id': 'https://openalex.org/W2113846436', 'doi': 'https://doi.org/10.48550/arxiv.1309.6609', 'title': 'An Expectation-Maximization Algorithm for the Matrix Normal Distribution', 'display_name': 'An Expectation-Maximization Algorithm for the Matrix Normal Distribution', 'publication_year': 2013, 'publication_date': '2013-01-01', 'ids': {'openalex': 'https://openalex.org/W2113846436', 'doi': 'https://doi.org/10.48550/arxiv.1309.6609', 'mag': '2113846436'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1309.6609', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'type': 'preprint', 'type_crossref': 'posted-content', 'indexed_in': ['datacite'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'https://arxiv.org/abs/1309.6609', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5060342351', 'display_name': 'Hunter Glanz', 'orcid': 'https://orcid.org/0000-0001-6726-8261'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Hunter Glanz', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5037140250', 'display_name': 'Luís Carvalho', 'orcid': 'https://orcid.org/0000-0003-3413-6910'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Luis Carvalho', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': None, 'has_fulltext': False, 'cited_by_count': 9, 'citation_normalized_percentile': {'value': 0.970105, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 84, 'max': 85}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10770', 'display_name': 'Soil Geostatistics and Mapping', 'score': 0.9915, 'subfield': {'id': 'https://openalex.org/subfields/2305', 'display_name': 'Environmental Engineering'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10770', 'display_name': 'Soil Geostatistics and Mapping', 'score': 0.9915, 'subfield': {'id': 'https://openalex.org/subfields/2305', 'display_name': 'Environmental Engineering'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.991, 'subfield': {'id': 'https://openalex.org/subfields/2613', 'display_name': 'Statistics and Probability'}, 'field': {'id': 'https://openalex.org/fields/26', 'display_name': 'Mathematics'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10136', 'display_name': 'Statistical Methods and Inference', 'score': 0.9828, 'subfield': {'id': 'https://openalex.org/subfields/2613', 'display_name': 'Statistics and Probability'}, 'field': {'id': 'https://openalex.org/fields/26', 'display_name': 'Mathematics'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/maximization', 'display_name': 'Maximization', 'score': 0.55420685}, {'id': 'https://openalex.org/keywords/matrix', 'display_name': 'Matrix (chemical analysis)', 'score': 0.49517027}], 'concepts': [{'id': 'https://openalex.org/C182081679', 'wikidata': 'https://www.wikidata.org/wiki/Q1275153', 'display_name': 'Expectation–maximization algorithm', 'level': 3, 'score': 0.76148355}, {'id': 'https://openalex.org/C9357733', 'wikidata': 'https://www.wikidata.org/wiki/Q6878417', 'display_name': 'Missing data', 'level': 2, 'score': 0.6777563}, {'id': 'https://openalex.org/C111030470', 'wikidata': 'https://www.wikidata.org/wiki/Q1430460', 'display_name': 'Curse of dimensionality', 'level': 2, 'score': 0.649221}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.6353908}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.619892}, {'id': 'https://openalex.org/C2776330181', 'wikidata': 'https://www.wikidata.org/wiki/Q18358244', 'display_name': 'Maximization', 'level': 2, 'score': 0.55420685}, {'id': 'https://openalex.org/C165696696', 'wikidata': 'https://www.wikidata.org/wiki/Q11287', 'display_name': 'Exploit', 'level': 2, 'score': 0.49636132}, {'id': 'https://openalex.org/C106487976', 'wikidata': 'https://www.wikidata.org/wiki/Q685816', 'display_name': 'Matrix (chemical analysis)', 'level': 2, 'score': 0.49517027}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.4577216}, {'id': 'https://openalex.org/C2780428219', 'wikidata': 'https://www.wikidata.org/wiki/Q16952335', 'display_name': 'Cover (algebra)', 'level': 2, 'score': 0.43748647}, {'id': 'https://openalex.org/C49781872', 'wikidata': 'https://www.wikidata.org/wiki/Q1045555', 'display_name': 'Maximum likelihood', 'level': 2, 'score': 0.41477245}, {'id': 'https://openalex.org/C110121322', 'wikidata': 'https://www.wikidata.org/wiki/Q865811', 'display_name': 'Distribution (mathematics)', 'level': 2, 'score': 0.41243863}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.3285084}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.28216088}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.27283075}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.2700345}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.20568985}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.16881359}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C192562407', 'wikidata': 'https://www.wikidata.org/wiki/Q228736', 'display_name': 'Materials science', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C159985019', 'wikidata': 'https://www.wikidata.org/wiki/Q181790', 'display_name': 'Composite material', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C78519656', 'wikidata': 'https://www.wikidata.org/wiki/Q101333', 'display_name': 'Mechanical engineering', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C38652104', 'wikidata': 'https://www.wikidata.org/wiki/Q3510521', 'display_name': 'Computer security', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C127413603', 'wikidata': 'https://www.wikidata.org/wiki/Q11023', 'display_name': 'Engineering', 'level': 0, 'score': 0.0}], 'mesh': [], 'locations_count': 2, 'locations': [{'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1309.6609', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://api.datacite.org/dois/10.48550/arxiv.1309.6609', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4393179698', 'display_name': 'DataCite API', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I4210145204', 'host_organization_name': 'DataCite', 'host_organization_lineage': ['https://openalex.org/I4210145204'], 'host_organization_lineage_names': ['DataCite'], 'type': 'metadata'}, 'license': None, 'license_id': None, 'version': None}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1309.6609', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'sustainable_development_goals': [{'display_name': 'Life on land', 'score': 0.58, 'id': 'https://metadata.un.org/sdg/15'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 4, 'referenced_works': ['https://openalex.org/W111910962', 'https://openalex.org/W2009922756', 'https://openalex.org/W2117853077', 'https://openalex.org/W2308181013'], 'related_works': ['https://openalex.org/W3176361882', 'https://openalex.org/W2990541822', 'https://openalex.org/W2982058819', 'https://openalex.org/W2150061385', 'https://openalex.org/W2130734797', 'https://openalex.org/W2122958477', 'https://openalex.org/W2025556230', 'https://openalex.org/W1978153144', 'https://openalex.org/W1976188970', 'https://openalex.org/W102848802'], 'abstract_inverted_index': {'Dramatic': [0], 'increases': [1], 'in': [2, 75], 'the': [3, 14, 38, 65, 106], 'size': [4], 'and': [5, 24, 62, 84, 93], 'dimensionality': [6], 'of': [7, 86], 'many': [8], 'recent': [9], 'data': [10, 48], 'sets': [11], 'make': [12], 'crucial': [13], 'need': [15], 'for': [16, 37, 45], 'sophisticated': [17], 'methods': [18], 'that': [19], 'can': [20], 'exploit': [21], 'inherent': [22], 'structure': [23], 'handle': [25], 'missing': [26, 68, 87], 'values.': [27], 'In': [28], 'this': [29], 'article': [30], 'we': [31, 104], 'derive': [32], 'an': [33], 'expectation-maximization': [34], '(EM)': [35], 'algorithm': [36], 'matrix': [39, 59], 'normal': [40, 60], 'distribution,': [41], 'a': [42, 76, 111], 'distribution': [43], 'well-suited': [44], 'naturally': [46], 'structured': [47], 'such': [49], 'as': [50], 'spatio-temporal': [51], 'data.': [52, 69, 88], 'We': [53, 70, 89], 'review': [54], 'previously': [55], 'established': [56], 'maximum': [57], 'likelihood': [58], 'estimates,': [61], 'then': [63], 'consider': [64], 'situation': [66], 'involving': [67], 'apply': [71], 'our': [72], 'EM': [73, 108], 'method': [74, 109], 'simulation': [77], 'study': [78], 'exploring': [79], 'errors': [80, 92], 'across': [81], 'different': [82], 'dimensions': [83], 'proportions': [85], 'compare': [90], 'these': [91], 'computational': [94], 'running': [95], 'times': [96], 'to': [97, 115], 'those': [98], 'from': [99], 'two': [100], 'alternative': [101], 'methods.': [102], 'Finally,': [103], 'implement': [105], 'proposed': [107], 'on': [110], 'satellite': [112], 'image': [113], 'dataset': [114], 'investigate': [116], 'land-cover': [117], 'classification': [118], 'separability.': [119]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2113846436', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2023, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 1}, {'year': 2020, 'cited_by_count': 1}, {'year': 2019, 'cited_by_count': 1}, {'year': 2017, 'cited_by_count': 2}, {'year': 2015, 'cited_by_count': 1}, {'year': 2014, 'cited_by_count': 1}], 'updated_date': '2024-12-17T04:58:23.549777', 'created_date': '2016-06-24'}