{"id":"https://openalex.org/W1831255215","doi":"https://doi.org/10.3233/978-1-60750-959-2-383","title":"Learning Hierarchical Sparse Representations using Iterative Dictionary Learning and Dimension Reduction","display_name":"Learning Hierarchical Sparse Representations using Iterative Dictionary Learning and Dimension Reduction","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1831255215","doi":"https://doi.org/10.3233/978-1-60750-959-2-383","mag":"1831255215"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-959-2-383","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-959-2-383","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1106.0357","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023721399","display_name":"T. Haj Mohamad","orcid":"https://orcid.org/0000-0002-2175-9724"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tarifi Mohamad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101432003","display_name":"S. Meera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sitharam Meera","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116358448","display_name":"Ho Jeffery","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ho Jeffery","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023721399"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.456,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62780763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6749886870384216},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6096682548522949},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5535312294960022},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5492260456085205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5375404357910156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49348247051239014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4000089466571808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3221778869628906},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3086922764778137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29834461212158203},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.06405976414680481}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6749886870384216},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6096682548522949},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5535312294960022},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5492260456085205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5375404357910156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49348247051239014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4000089466571808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3221778869628906},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3086922764778137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29834461212158203},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.06405976414680481},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-60750-959-2-383","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-959-2-383","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:1831255215","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1106.0357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:1831255215","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1106.0357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W68611592","https://openalex.org/W1571631490","https://openalex.org/W1577620534","https://openalex.org/W1971402995","https://openalex.org/W1977628053","https://openalex.org/W2010124835","https://openalex.org/W2033613103","https://openalex.org/W2100223191","https://openalex.org/W2105464873","https://openalex.org/W2111947800","https://openalex.org/W2125663122","https://openalex.org/W2130195834","https://openalex.org/W2132172482","https://openalex.org/W2137411342","https://openalex.org/W2145889472","https://openalex.org/W2147008239","https://openalex.org/W2149194912","https://openalex.org/W2403776469"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W1987225540","https://openalex.org/W2363993830","https://openalex.org/W1778286912","https://openalex.org/W2116933539","https://openalex.org/W2561456314","https://openalex.org/W2249096836","https://openalex.org/W2152958724","https://openalex.org/W1587263836","https://openalex.org/W1992008660"],"abstract_inverted_index":{"This":[0,70],"paper":[1],"introduces":[2,72],"an":[3,63,78],"elemental":[4],"building":[5,98],"block":[6],"which":[7],"combines":[8],"Dictionary":[9],"Learning":[10],"and":[11,83],"Dimension":[12],"Reduction":[13],"(DRDL).":[14],"We":[15,36,50],"show":[16],"how":[17],"this":[18,56],"foundational":[19],"element":[20],"can":[21],"be":[22],"used":[23],"to":[24,40,90,92],"iteratively":[25],"construct":[26],"a":[27,33,99],"Hierarchical":[28],"Sparse":[29],"Representation":[30],"(HSR)":[31],"of":[32,46,62,104],"sensory":[34],"stream.":[35],"compare":[37],"our":[38,47],"approach":[39],"existing":[41],"models":[42],"showing":[43],"the":[44,60,73],"generality":[45],"simple":[48],"prescription.":[49],"then":[51],"perform":[52],"preliminary":[53],"experiments":[54],"using":[55,67],"framework,":[57],"illustrating":[58],"with":[59],"example":[61],"object":[64],"recognition":[65],"task":[66],"standard":[68],"datasets.":[69],"work":[71],"very":[74],"first":[75],"steps":[76],"towards":[77],"integrated":[79,102],"framework":[80],"for":[81],"designing":[82],"analyzing":[84],"various":[85],"computational":[86],"tasks":[87],"from":[88],"learning":[89],"attention":[91],"action.":[93],"The":[94],"ultimate":[95],"goal":[96],"is":[97],"mathematically":[100],"rigorous,":[101],"theory":[103],"intelligence.":[105]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}