{"doi":"10.1109/ijcnn.2005.1556154","title":"Learning informative features for spatial histogram-based object detection","abstract":null,"journal":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","year":2005,"id":634160,"datarank":0.4636563680037475,"base_score":3.091042453358316,"endowment":3.091042453358316,"self_citation_contribution":0.4636563680037475,"citation_network_contribution":0.0,"self_endowment_contribution":0.4636563680037475,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":21,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"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":862237,"name":"Wen Gao","orcid":"0000-0002-9857-5966","position":1,"is_corresponding":false},{"id":779497,"name":"Xilin Chen","orcid":"0000-0003-3024-4404","position":2,"is_corresponding":false},{"id":1644602,"name":"Debin Zhao","orcid":null,"position":3,"is_corresponding":false},{"id":1536185,"name":"Hongming Zhang","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Learning informative features for spatial histogram-based object detection","abstract":"Feature extraction for object representation plays an important role in automatic object detection system. As the spatial histograms consist of marginal distribution of image over local patches, object texture and shape are simultaneously preserved by the spatial histogram representation. In this paper, we propose methods of learning informative features for spatial histogram-based object detection. We employ Fisher criterion to measure the discriminability of each spatial histogram feature and calculate features correlation using mutual information. In order to construct compact feature sets for efficient classification, we propose informative selection algorithm to select uncorrelated and discriminative spatial histogram features. The proposed approaches are tested on two different kinds of objects: car and video text. The experimental results show that the proposed approaches are efficient in object detection.","is_dataset_classified":null,"base_score":3.091042453358316,"endowment":3.091042453358316,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19767382","pmcid":null,"openalex_id":"https://openalex.org/W1498259939","authors":[],"funders":[],"total_grants":0,"fwci":0.7694,"citation_percentile":0.67308527,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2013,"count":2},{"year":2014,"count":2},{"year":2017,"count":1},{"year":2018,"count":2},{"year":2019,"count":2},{"year":2020,"count":1},{"year":2021,"count":1},{"year":2023,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx5/10421/33091/01556154.pdf?arnumber=1556154","host_type":"publisher"},{"url":"https://doi.org/10.1109/ijcnn.2005.1556154","host_type":"conference"},{"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.5122","host_type":""}],"fields_of_study":["Advanced Image and Video Retrieval Techniques","Image Retrieval and Classification Techniques","Face and Expression Recognition"],"mesh_terms":[],"keywords":["Pattern recognition (psychology)","Histogram","Artificial intelligence","Discriminative model","Computer science","Histogram matching","Feature (linguistics)","Object (grammar)","Feature extraction","Representation (politics)","Computer vision","Object detection","Mathematics","Image (mathematics)"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Reduced inequalities"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T13:15:42.592987Z","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":[]}