Publication Information

{'id': 'https://openalex.org/W1998812875', 'doi': 'https://doi.org/10.1109/tsp.2014.2385036', 'title': 'Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary', 'display_name': 'Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary', 'publication_year': 2014, 'publication_date': '2014-12-22', 'ids': {'openalex': 'https://openalex.org/W1998812875', 'doi': 'https://doi.org/10.1109/tsp.2014.2385036', 'mag': '1998812875'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tsp.2014.2385036', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S168680287', 'display_name': 'IEEE Transactions on Signal Processing', 'issn_l': '1053-587X', 'issn': ['1053-587X', '1941-0476'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], '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/A5032352025', 'display_name': 'Mingkui Tan', 'orcid': 'https://orcid.org/0000-0001-8856-756X'}, 'institutions': [{'id': 'https://openalex.org/I5681781', 'display_name': 'University of Adelaide', 'ror': 'https://ror.org/00892tw58', 'country_code': 'AU', 'type': 'education', 'lineage': ['https://openalex.org/I5681781']}], 'countries': ['AU'], 'is_corresponding': False, 'raw_author_name': 'Mingkui Tan', 'raw_affiliation_strings': ['School of Computer Science, University of Adelaide,Australia'], 'affiliations': [{'raw_affiliation_string': 'School of Computer Science, University of Adelaide,Australia', 'institution_ids': ['https://openalex.org/I5681781']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5021751767', 'display_name': 'Ivor W. Tsang', 'orcid': 'https://orcid.org/0000-0001-8095-4637'}, 'institutions': [{'id': 'https://openalex.org/I114017466', 'display_name': 'University of Technology Sydney', 'ror': 'https://ror.org/03f0f6041', 'country_code': 'AU', 'type': 'education', 'lineage': ['https://openalex.org/I114017466']}], 'countries': ['AU'], 'is_corresponding': False, 'raw_author_name': 'Ivor W. Tsang', 'raw_affiliation_strings': ['[Centre for Quantum Computation & Intelligent Systems (QCIS), University of Technology, Sydney, Australia]'], 'affiliations': [{'raw_affiliation_string': '[Centre for Quantum Computation & Intelligent Systems (QCIS), University of Technology, Sydney, Australia]', 'institution_ids': ['https://openalex.org/I114017466']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5100336208', 'display_name': 'Li Wang', 'orcid': 'https://orcid.org/0000-0003-2658-4262'}, 'institutions': [{'id': 'https://openalex.org/I27804330', 'display_name': 'Brown University', 'ror': 'https://ror.org/05gq02987', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I27804330']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Li Wang', 'raw_affiliation_strings': ['Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University, USA'], 'affiliations': [{'raw_affiliation_string': 'Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University, USA', 'institution_ids': ['https://openalex.org/I27804330']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 4.8, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 39, 'citation_normalized_percentile': {'value': 0.925526, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 94, 'max': 95}, 'biblio': {'volume': '63', 'issue': '3', 'first_page': '727', 'last_page': '741'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10500', 'display_name': 'Sparse and Compressive Sensing Techniques', 'score': 1.0, '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': 'Sparse and Compressive Sensing Techniques', 'score': 1.0, '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/T10688', 'display_name': 'Image and Signal Denoising Methods', 'score': 0.9997, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, '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/T12015', 'display_name': 'Photoacoustic and Ultrasonic Imaging', 'score': 0.9994, 'subfield': {'id': 'https://openalex.org/subfields/2204', 'display_name': 'Biomedical Engineering'}, '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/regularization', 'display_name': 'Regularization', 'score': 0.5720304}, {'id': 'https://openalex.org/keywords/lasso', 'display_name': 'Lasso', 'score': 0.54118603}, {'id': 'https://openalex.org/keywords/signal-recovery', 'display_name': 'Signal Recovery', 'score': 0.49475998}, {'id': 'https://openalex.org/keywords/quadratic-growth', 'display_name': 'Quadratic growth', 'score': 0.47278285}], 'concepts': [{'id': 'https://openalex.org/C156872377', 'wikidata': 'https://www.wikidata.org/wiki/Q6786281', 'display_name': 'Matching pursuit', 'level': 3, 'score': 0.71426165}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5927234}, {'id': 'https://openalex.org/C2776135515', 'wikidata': 'https://www.wikidata.org/wiki/Q17143721', 'display_name': 'Regularization (linguistics)', 'level': 2, 'score': 0.5720304}, {'id': 'https://openalex.org/C37616216', 'wikidata': 'https://www.wikidata.org/wiki/Q3218363', 'display_name': 'Lasso (programming language)', 'level': 2, 'score': 0.54118603}, {'id': 'https://openalex.org/C191795146', 'wikidata': 'https://www.wikidata.org/wiki/Q3878446', 'display_name': 'Norm (philosophy)', 'level': 2, 'score': 0.5007973}, {'id': 'https://openalex.org/C2989281035', 'wikidata': 'https://www.wikidata.org/wiki/Q120811', 'display_name': 'Signal recovery', 'level': 3, 'score': 0.49475998}, {'id': 'https://openalex.org/C75684735', 'wikidata': 'https://www.wikidata.org/wiki/Q858810', 'display_name': 'Big data', 'level': 2, 'score': 0.48913887}, {'id': 'https://openalex.org/C195956108', 'wikidata': 'https://www.wikidata.org/wiki/Q7268362', 'display_name': 'Quadratic growth', 'level': 2, 'score': 0.47278285}, {'id': 'https://openalex.org/C45374587', 'wikidata': 'https://www.wikidata.org/wiki/Q12525525', 'display_name': 'Computation', 'level': 2, 'score': 0.45848367}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.39862615}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.39624932}, {'id': 'https://openalex.org/C80444323', 'wikidata': 'https://www.wikidata.org/wiki/Q2878974', 'display_name': 'Theoretical computer science', 'level': 1, 'score': 0.34105784}, {'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.31121564}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.29216793}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.27876502}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.17545456}, {'id': 'https://openalex.org/C136764020', 'wikidata': 'https://www.wikidata.org/wiki/Q466', 'display_name': 'World Wide Web', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C17744445', 'wikidata': 'https://www.wikidata.org/wiki/Q36442', 'display_name': 'Political science', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C199539241', 'wikidata': 'https://www.wikidata.org/wiki/Q7748', 'display_name': 'Law', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tsp.2014.2385036', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S168680287', 'display_name': 'IEEE Transactions on Signal Processing', 'issn_l': '1053-587X', 'issn': ['1053-587X', '1941-0476'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'display_name': 'Quality education', 'id': 'https://metadata.un.org/sdg/4', 'score': 0.67}], 'grants': [{'funder': 'https://openalex.org/F4320334704', 'funder_display_name': 'Australian Research Council', 'award_id': None}], 'datasets': [], 'versions': [], 'referenced_works_count': 91, 'referenced_works': ['https://openalex.org/W145900751', 'https://openalex.org/W1502971152', 'https://openalex.org/W1537765164', 'https://openalex.org/W1974198688', 'https://openalex.org/W1978901787', 'https://openalex.org/W1982941867', 'https://openalex.org/W1983008863', 'https://openalex.org/W1983611387', 'https://openalex.org/W1984568490', 'https://openalex.org/W1984915212', 'https://openalex.org/W1985077192', 'https://openalex.org/W1987793616', 'https://openalex.org/W1994520254', 'https://openalex.org/W2003217181', 'https://openalex.org/W2005876975', 'https://openalex.org/W2020719522', 'https://openalex.org/W2021302824', 'https://openalex.org/W2022611944', 'https://openalex.org/W2025079166', 'https://openalex.org/W2034260606', 'https://openalex.org/W2039851473', 'https://openalex.org/W2044762091', 'https://openalex.org/W2046658845', 'https://openalex.org/W2050011800', 'https://openalex.org/W2062846739', 'https://openalex.org/W2063978378', 'https://openalex.org/W2077520262', 'https://openalex.org/W2080296254', 'https://openalex.org/W2081300664', 'https://openalex.org/W2081895856', 'https://openalex.org/W2084363278', 'https://openalex.org/W2091893102', 'https://openalex.org/W2093347109', 'https://openalex.org/W2097360283', 'https://openalex.org/W2099100030', 'https://openalex.org/W2100526560', 'https://openalex.org/W2100556411', 'https://openalex.org/W2107059427', 'https://openalex.org/W2109449402', 'https://openalex.org/W2112495313', 'https://openalex.org/W2112605393', 'https://openalex.org/W2113606819', 'https://openalex.org/W2114122776', 'https://openalex.org/W2114643899', 'https://openalex.org/W2116148865', 'https://openalex.org/W2116581043', 'https://openalex.org/W2117173631', 'https://openalex.org/W2118435112', 'https://openalex.org/W2118838680', 'https://openalex.org/W2121058967', 'https://openalex.org/W2127271355', 'https://openalex.org/W2128659236', 'https://openalex.org/W2129131372', 'https://openalex.org/W2129812935', 'https://openalex.org/W2146482778', 'https://openalex.org/W2148108699', 'https://openalex.org/W2150409012', 'https://openalex.org/W2151693816', 'https://openalex.org/W2154332973', 'https://openalex.org/W2155284717', 'https://openalex.org/W2159563318', 'https://openalex.org/W2160979406', 'https://openalex.org/W2161227280', 'https://openalex.org/W2162312215', 'https://openalex.org/W2164452299', 'https://openalex.org/W2168458522', 'https://openalex.org/W2168893847', 'https://openalex.org/W2184852195', 'https://openalex.org/W2238261533', 'https://openalex.org/W2289917018', 'https://openalex.org/W2293318283', 'https://openalex.org/W2296319761', 'https://openalex.org/W2296616510', 'https://openalex.org/W2406730648', 'https://openalex.org/W2406740263', 'https://openalex.org/W2461562394', 'https://openalex.org/W2497464837', 'https://openalex.org/W2536599074', 'https://openalex.org/W2962817023', 'https://openalex.org/W2963301274', 'https://openalex.org/W2963322354', 'https://openalex.org/W3022380717', 'https://openalex.org/W3099718522', 'https://openalex.org/W3101762025', 'https://openalex.org/W3105340263', 'https://openalex.org/W340244495', 'https://openalex.org/W4230981723', 'https://openalex.org/W4250589301', 'https://openalex.org/W4250955649', 'https://openalex.org/W4294541781', 'https://openalex.org/W4301376094'], 'related_works': ['https://openalex.org/W4385694579', 'https://openalex.org/W4319793311', 'https://openalex.org/W4300881421', 'https://openalex.org/W2465351041', 'https://openalex.org/W2340242818', 'https://openalex.org/W2262109992', 'https://openalex.org/W2145977033', 'https://openalex.org/W2103001330', 'https://openalex.org/W2098521117', 'https://openalex.org/W2012574959'], 'abstract_inverted_index': {'Large-scale': [0], 'sparse': [1, 128], 'recovery': [2, 129], '(SR)': [3], 'by': [4, 72], 'solving': [5], 'ℓ': [6, 52, 116], '<sub': [7, 53, 117], 'xmlns:mml="http://www.w3.org/1998/Math/MathML"': [8, 54, 118], 'xmlns:xlink="http://www.w3.org/1999/xlink">1</sub>': [9, 55, 119], '-norm': [10, 56, 120], 'relaxations': [11], 'over': [12, 94, 122], 'Big': [13, 123], 'Dictionary': [14], 'is': [15, 45, 59, 99, 133], 'a': [16, 74, 82, 104], 'very': [17], 'challenging': [18], 'task.': [19], 'Plenty': [20], 'of': [21, 35, 114, 131], 'greedy': [22], 'methods': [23, 121], 'have': [24], 'therefore': [25], 'been': [26], 'proposed': [27], 'to': [28, 49, 101, 103], 'address': [29, 66], 'big': [30], 'SR': [31], 'problems,': [32], 'but': [33], 'most': [34], 'them': [36, 48], 'require': [37], 'restricted': [38], 'conditions': [39], 'for': [40, 47, 61], 'the': [41, 51, 111, 115, 126], 'convergence.': [42], 'Moreover,': [43], 'it': [44, 98, 108], 'non-trivial': [46], 'incorporate': [50], 'regularization': [57], 'that': [58], 'required': [60], 'robust': [62], 'signal': [63], 'recovery.': [64], 'We': [65], 'these': [67], 'issues': [68], 'in': [69], 'this': [70], 'paper': [71], 'proposing': [73], 'Matching': [75], 'Pursuit': [76], 'LASSO': [77], '(MPL)': [78], 'algorithm,': [79], 'based': [80], 'on': [81], 'novel': [83], 'quadratically': [84], 'constrained': [85], 'linear': [86], 'program': [87], '(QCLP)': [88], 'formulation,': [89], 'which': [90], 'has': [91], 'several': [92], 'advantages': [93], 'existing': [95], 'methods.': [96], 'Firstly,': [97], 'guaranteed': [100], 'converge': [102], 'global': [105], 'solution.': [106], 'Secondly,': [107], 'greatly': [109], 'reduces': [110], 'computation': [112], 'cost': [113], 'Dictionaries.': [124], 'Lastly,': [125], 'exact': [127], 'condition': [130], 'MPL': [132], 'also': [134], 'investigated.': [135]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1998812875', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 6}, {'year': 2021, 'cited_by_count': 4}, {'year': 2020, 'cited_by_count': 3}, {'year': 2019, 'cited_by_count': 3}, {'year': 2018, 'cited_by_count': 3}, {'year': 2017, 'cited_by_count': 3}, {'year': 2016, 'cited_by_count': 5}, {'year': 2015, 'cited_by_count': 9}, {'year': 2014, 'cited_by_count': 1}, {'year': 2013, 'cited_by_count': 1}], 'updated_date': '2025-01-06T04:07:41.986849', 'created_date': '2016-06-24'}