Publication Information

{'id': 'https://openalex.org/W2791609404', 'doi': None, 'title': 'Static and Dynamic Robust PCA via Low-Rank + Sparse Matrix Decomposition: A Review.', 'display_name': 'Static and Dynamic Robust PCA via Low-Rank + Sparse Matrix Decomposition: A Review.', 'publication_year': 2018, 'publication_date': '2018-03-01', 'ids': {'openalex': 'https://openalex.org/W2791609404', 'mag': '2791609404'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://export.arxiv.org/pdf/1803.00651', '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': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'type': 'preprint', 'type_crossref': 'posted-content', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5005043504', 'display_name': 'Namrata Vaswani', 'orcid': 'https://orcid.org/0000-0003-2774-0650'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Namrata Vaswani', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5087330283', 'display_name': 'Praneeth Narayanamurthy', 'orcid': 'https://orcid.org/0000-0002-5761-7357'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Praneeth Narayanamurthy', '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': 2, 'citation_normalized_percentile': {'value': 0.667309, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 70, 'max': 75}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10500', 'display_name': 'Theory and Applications of Compressed Sensing', 'score': 0.9999, 'subfield': {'id': 'https://openalex.org/subfields/2206', 'display_name': 'Computational Mechanics'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10500', 'display_name': 'Theory and Applications of Compressed Sensing', 'score': 0.9999, 'subfield': {'id': 'https://openalex.org/subfields/2206', 'display_name': 'Computational Mechanics'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11447', 'display_name': 'Blind Source Separation and Independent Component Analysis', 'score': 0.9976, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T13114', 'display_name': 'Autofocusing in Microscopy and Photography', 'score': 0.9949, 'subfield': {'id': 'https://openalex.org/subfields/2214', 'display_name': 'Media Technology'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/sparse-pca', 'display_name': 'Sparse PCA', 'score': 0.74957395}, {'id': 'https://openalex.org/keywords/independent-component-analysis', 'display_name': 'Independent Component Analysis', 'score': 0.541842}, {'id': 'https://openalex.org/keywords/matrix', 'display_name': 'Matrix (chemical analysis)', 'score': 0.50040793}, {'id': 'https://openalex.org/keywords/rank', 'display_name': 'Rank (graph theory)', 'score': 0.42550802}], 'concepts': [{'id': 'https://openalex.org/C2777749129', 'wikidata': 'https://www.wikidata.org/wiki/Q17148469', 'display_name': 'Robust principal component analysis', 'level': 3, 'score': 0.8977233}, {'id': 'https://openalex.org/C24252448', 'wikidata': 'https://www.wikidata.org/wiki/Q7573786', 'display_name': 'Sparse PCA', 'level': 3, 'score': 0.74957395}, {'id': 'https://openalex.org/C79337645', 'wikidata': 'https://www.wikidata.org/wiki/Q779824', 'display_name': 'Outlier', 'level': 2, 'score': 0.74686104}, {'id': 'https://openalex.org/C32834561', 'wikidata': 'https://www.wikidata.org/wiki/Q660730', 'display_name': 'Subspace topology', 'level': 2, 'score': 0.6927654}, {'id': 'https://openalex.org/C56372850', 'wikidata': 'https://www.wikidata.org/wiki/Q1050404', 'display_name': 'Sparse matrix', 'level': 3, 'score': 0.6471262}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.6373961}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.5102751}, {'id': 'https://openalex.org/C106487976', 'wikidata': 'https://www.wikidata.org/wiki/Q685816', 'display_name': 'Matrix (chemical analysis)', 'level': 2, 'score': 0.50040793}, {'id': 'https://openalex.org/C27438332', 'wikidata': 'https://www.wikidata.org/wiki/Q2873', 'display_name': 'Principal component analysis', 'level': 2, 'score': 0.49653465}, {'id': 'https://openalex.org/C70518039', 'wikidata': 'https://www.wikidata.org/wiki/Q16000077', 'display_name': 'Dimensionality reduction', 'level': 2, 'score': 0.49180368}, {'id': 'https://openalex.org/C164226766', 'wikidata': 'https://www.wikidata.org/wiki/Q7293202', 'display_name': 'Rank (graph theory)', 'level': 2, 'score': 0.42550802}, {'id': 'https://openalex.org/C124066611', 'wikidata': 'https://www.wikidata.org/wiki/Q28684319', 'display_name': 'Sparse approximation', 'level': 2, 'score': 0.41677904}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.40980563}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.29361492}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.25500488}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, '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/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C114614502', 'wikidata': 'https://www.wikidata.org/wiki/Q76592', 'display_name': 'Combinatorics', 'level': 1, '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/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://export.arxiv.org/pdf/1803.00651', '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': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 42, 'referenced_works': ['https://openalex.org/W1513013675', 'https://openalex.org/W151981251', 'https://openalex.org/W1536994378', 'https://openalex.org/W1600478107', 'https://openalex.org/W1613169971', 'https://openalex.org/W1967336819', 'https://openalex.org/W1975189025', 'https://openalex.org/W2004026774', 'https://openalex.org/W2044670824', 'https://openalex.org/W2065030431', 'https://openalex.org/W2075406189', 'https://openalex.org/W2076422080', 'https://openalex.org/W2078397124', 'https://openalex.org/W2094265461', 'https://openalex.org/W2096586829', 'https://openalex.org/W2096642693', 'https://openalex.org/W2098884960', 'https://openalex.org/W2099953425', 'https://openalex.org/W2106005123', 'https://openalex.org/W2133515443', 'https://openalex.org/W2140738143', 'https://openalex.org/W2143701678', 'https://openalex.org/W2145962650', 'https://openalex.org/W2154992274', 'https://openalex.org/W2155813684', 'https://openalex.org/W2158445689', 'https://openalex.org/W2168955340', 'https://openalex.org/W2294644361', 'https://openalex.org/W2486280681', 'https://openalex.org/W2512442405', 'https://openalex.org/W2513570774', 'https://openalex.org/W2542482481', 'https://openalex.org/W2588853887', 'https://openalex.org/W2762625016', 'https://openalex.org/W2962714108', 'https://openalex.org/W2963346868', 'https://openalex.org/W2963443408', 'https://openalex.org/W2963676515', 'https://openalex.org/W2963935595', 'https://openalex.org/W2964106249', 'https://openalex.org/W3104624268', 'https://openalex.org/W3142873477'], 'related_works': ['https://openalex.org/W3196545307', 'https://openalex.org/W3111652977', 'https://openalex.org/W3101949476', 'https://openalex.org/W3045938091', 'https://openalex.org/W2979028048', 'https://openalex.org/W2963047559', 'https://openalex.org/W2952835064', 'https://openalex.org/W2951401720', 'https://openalex.org/W2936872647', 'https://openalex.org/W2891284477', 'https://openalex.org/W2890107589', 'https://openalex.org/W2799374010', 'https://openalex.org/W2789007121', 'https://openalex.org/W2765484633', 'https://openalex.org/W2765141761', 'https://openalex.org/W2507476065', 'https://openalex.org/W2198863840', 'https://openalex.org/W2110323469', 'https://openalex.org/W2096515530', 'https://openalex.org/W1547434436'], 'abstract_inverted_index': {'Principal': [0], 'Components': [1], 'Analysis': [2], '(PCA)': [3], 'is': [4, 135], 'one': [5], 'of': [6, 21, 44, 53, 67, 85, 107, 117, 138, 159, 163, 185, 192], 'the': [7, 19, 24, 51, 68, 73, 98, 103, 108, 136, 160, 181], 'most': [8], 'widely': [9], 'used': [10], 'dimension': [11], 'reduction': [12], 'techniques.': [13], 'Robust': [14], 'PCA': [15, 22, 74], '(RPCA)': [16], 'refers': [17], 'to': [18, 81, 97, 150], 'problem': [20, 43, 110, 137], 'when': [23], 'data': [25, 48, 140], 'may': [26], 'be': [27], 'corrupted': [28], 'by': [29, 33], 'outliers.': [30, 152], 'Recent': [31], 'work': [32, 88], 'Candes,': [34], 'Wright,': [35], 'Li,': [36], 'and': [37, 59, 93, 114, 121, 167, 183, 188, 194], 'Ma': [38], 'defined': [39], 'RPCA': [40, 99, 109, 130, 166], 'as': [41], 'a': [42, 46, 54, 60, 82, 115, 143], 'decomposing': [45], 'given': [47], 'matrix': [49, 56, 62, 70], 'into': [50], 'sum': [52], 'low-rank': [55, 69], '(true': [57], 'data)': [58], 'sparse': [61, 151], '(outliers).': [63], 'The': [64], 'column': [65], 'space': [66], 'then': [71], 'gives': [72], 'solution.': [75], 'This': [76, 153], 'simple': [77], 'definition': [78], 'has': [79, 111], 'lead': [80], 'large': [83], 'amount': [84], 'interesting': [86], 'new': [87], 'on': [89, 165], 'provably': [90, 118], 'correct,': [91, 119], 'fast,': [92, 120], 'practically': [94], 'useful': [95], 'solutions': [96, 125], 'problem.': [100], 'More': [101], 'recently,': [102], 'dynamic': [104, 169], '(time-varying)': [105], 'version': [106], 'been': [112, 127], 'studied': [113], 'series': [116], 'memory': [122], 'efficient': [123], 'tracking': [124, 139], 'have': [126], 'proposed.': [128], 'Dynamic': [129], '(or': [131], 'robust': [132, 149], 'subspace': [133, 146, 172], 'tracking)': [134], 'lying': [141], 'in': [142], '(slowly)': [144], 'changing': [145], 'while': [147], 'being': [148], 'article': [154], 'provides': [155], 'an': [156], 'exhaustive': [157], 'review': [158], 'last': [161], 'decade': [162], 'literature': [164], 'its': [168], 'counterpart': [170], '(robust': [171], 'tracking),': [173], 'along': [174], 'with': [175], 'describing': [176], 'their': [177], 'theoretical': [178], 'guarantees,': [179], 'discussing': [180], 'pros': [182], 'cons': [184], 'various': [186], 'approaches,': [187], 'providing': [189], 'empirical': [190], 'comparisons': [191], 'performance': [193], 'speed.': [195]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2791609404', 'counts_by_year': [{'year': 2019, 'cited_by_count': 2}], 'updated_date': '2024-09-19T15:21:18.276993', 'created_date': '2018-03-29'}