{"id":"https://openalex.org/W2021010973","doi":"https://doi.org/10.1109/mlsp.2015.7324324","title":"Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse Autoencoder","display_name":"Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse Autoencoder","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2021010973","doi":"https://doi.org/10.1109/mlsp.2015.7324324","mag":"2021010973"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2015.7324324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2015.7324324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://mediatum.ub.tum.de/node?id=1293562","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021272610","display_name":"Mengqi Ji","orcid":"https://orcid.org/0000-0002-9210-6851"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Mengqi Ji","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039161616","display_name":"Lu Fang","orcid":"https://orcid.org/0000-0002-8258-784X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Lu Fang","raw_affiliation_strings":["Hong Kong University of Science and Technology","University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016267591","display_name":"Haitian Zheng","orcid":"https://orcid.org/0000-0003-0415-1765"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitian Zheng","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041432643","display_name":"Matti Strese","orcid":"https://orcid.org/0000-0001-5683-0968"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matti Strese","raw_affiliation_strings":["Technische Universit\u00e4t M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t M\u00fcnchen","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077346002","display_name":"Eckehard Steinbach","orcid":"https://orcid.org/0000-0001-8853-2703"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eckehard Steinbach","raw_affiliation_strings":["Technische Universit\u00e4t M\u00fcnchen"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t M\u00fcnchen","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021272610"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.1654,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.53014327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/autoencoder","display_name":"Autoencoder","score":0.852627694606781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8049754500389099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.733441948890686},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.723637044429779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6866235136985779},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6843768954277039},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5930015444755554},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.45086532831192017},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4282096028327942},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3579157292842865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33063435554504395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2995116114616394}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.852627694606781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8049754500389099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.733441948890686},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.723637044429779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6866235136985779},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6843768954277039},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5930015444755554},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.45086532831192017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4282096028327942},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3579157292842865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33063435554504395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2995116114616394},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mlsp.2015.7324324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2015.7324324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1293562","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1293562","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-77350","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-77350","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1293562","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1293562","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W34239198","https://openalex.org/W939280201","https://openalex.org/W1513648806","https://openalex.org/W1514388995","https://openalex.org/W1955857676","https://openalex.org/W2015609665","https://openalex.org/W2051206802","https://openalex.org/W2062558416","https://openalex.org/W2080317558","https://openalex.org/W2100495367","https://openalex.org/W2107780715","https://openalex.org/W2107789863","https://openalex.org/W2112796928","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2168013545","https://openalex.org/W2168893862","https://openalex.org/W6601402213","https://openalex.org/W6624607791","https://openalex.org/W6630629707","https://openalex.org/W6676071220","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W2884201223"],"abstract_inverted_index":{"Acceleration":[0],"signals":[1,43],"captured":[2],"during":[3],"the":[4,38,83,87,97,100,105,129],"interaction":[5],"of":[6,82,89,99,104],"a":[7,90,121],"rigid":[8],"tool":[9],"with":[10],"an":[11],"object":[12],"surface":[13,18],"carry":[14],"relevant":[15],"information":[16],"for":[17],"material":[19],"classification.":[20],"Existing":[21],"methods":[22],"mostly":[23],"rely":[24],"on":[25,65,73,120],"carefully":[26],"designed":[27],"perception-related":[28],"features":[29,31,54],"or":[30],"adapted":[32],"from":[33,55],"audio":[34,45],"processing":[35],"motivated":[36],"by":[37,113],"observed":[39],"similarity":[40],"between":[41],"acceleration":[42,57],"and":[44,71,79],"signals.":[46],"In":[47],"contrast,":[48],"our":[49],"proposed":[50,130],"method":[51],"automatically":[52],"learns":[53],"RAW":[56,74],"data":[58],"without":[59],"preprocessing.":[60],"The":[61],"approach":[62],"is":[63,109],"based":[64],"Convolutional":[66],"Neural":[67],"Networks":[68],"(CNN)":[69],"trained":[70,91],"tested":[72],"data.":[75],"For":[76],"better":[77],"performance":[78],"faster":[80],"convergence":[81],"CNN,":[84],"we":[85],"use":[86],"weights":[88,98],"sparse":[92,114],"Autoencoder":[93],"(AE)":[94],"to":[95],"initialize":[96],"first":[101],"convolution":[102],"layers":[103],"CNN.":[106],"This":[107],"strategy":[108],"named":[110],"CNN":[111],"pretrained":[112],"AE":[115],"(ACNN).":[116],"Our":[117],"classification":[118],"results":[119],"publically":[122],"available":[123],"Haptic":[124],"Texture":[125],"Database":[126],"demonstrate":[127],"that":[128],"algorithm":[131],"performs":[132],"favorably":[133],"against":[134],"existing":[135],"methods.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}