{"doi":"10.1007/978-981-15-3325-9_26","title":"A Computationally Efficient Data-Dependent Projection for Dimensionality Reduction","abstract":null,"journal":"Lecture Notes in Networks and Systems","year":2020,"id":664433,"datarank":0.20840610420687794,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.04361426090666149,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.04361426090666149,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":2,"citers_with_citation_signal":2,"citers_with_endowment":2,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1734908,"name":"Vadlamudi China Venkaiah","orcid":null,"position":1,"is_corresponding":false},{"id":1734907,"name":"Raghunadh Pasunuri","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A Computationally Efficient Data-Dependent Projection for Dimensionality Reduction","abstract":null,"is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19162232","pmcid":null,"openalex_id":"https://openalex.org/W3015962327","authors":[],"funders":[],"total_grants":0,"fwci":0.1708,"citation_percentile":0.43696757,"influential_citations":0,"citation_trend":[{"year":2020,"count":1},{"year":2022,"count":1}],"oa_status":"closed","license":"http://www.springer.com/tdm","oa_locations":[{"url":"http://link.springer.com/content/pdf/10.1007/978-981-15-3325-9_26","host_type":"publisher"},{"url":"https://doi.org/10.1007/978-981-15-3325-9_26","host_type":"book series"}],"fields_of_study":["Face and Expression Recognition","Sparse and Compressive Sensing Techniques","Advanced Image and Video Retrieval Techniques"],"mesh_terms":[],"keywords":["Dimensionality reduction","Random projection","Principal component analysis","Projection (relational algebra)","Randomness","Projection pursuit","Curse of dimensionality","Pattern recognition (psychology)","Feature vector","Computer science","Feature (linguistics)","Matrix (chemical analysis)","Algorithm","Clustering high-dimensional data","Reduction (mathematics)","Artificial intelligence","Mathematics","Data mining","Cluster analysis","Statistics"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-13T02:53:46.277486Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}