{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/pca/papers/14","list_of":"/method/pca","method":"PCA","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":14,"pages_in_order":14,"rows_per_page":100,"rows":[1301,1323],"of":1323,"counts":{"archive_papers_tagged":1323,"with_a_code_link":319,"where_syntology_ran_a_sample":46,"not_listed_spam_title":0,"listed":1323,"listed_where_code_ran":46,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":31,"every_run_a_failure_of_syntologys_instrument":15,"listed_with_a_run_with_no_instrument_failure":31,"listed_every_run_a_failure_of_syntologys_instrument":15,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/pca","prev":"/method/pca/papers/13","next":null,"papers":[{"paper":null,"slug":"real-time-face-recognition-using-adaboost","title":"Real time face recognition using adaboost improved fast PCA algorithm","date":"2011-08-05","arxiv_id":"1108.01353","n_code_links":0,"syntology":null},{"paper":"/paper/an-inverse-power-method-for-nonlinear-1","slug":"an-inverse-power-method-for-nonlinear-1","title":"An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA","date":"2010-12-03","arxiv_id":"1012.0774","n_code_links":2,"syntology":null},{"paper":null,"slug":"a-block-lanczos-with-warm-start-technique-for","title":"A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms","date":"2010-12-02","arxiv_id":"1012.0365","n_code_links":0,"syntology":null},{"paper":null,"slug":"cur-from-a-sparse-optimization-viewpoint","title":"CUR from a Sparse Optimization Viewpoint","date":"2010-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"latent-variable-models-for-predicting-file","title":"Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development","date":"2010-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"variational-bounds-for-mixed-data-factor","title":"Variational bounds for mixed-data factor analysis","date":"2010-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"classification-with-scattering-operators","title":"Classification with Scattering Operators","date":"2010-11-12","arxiv_id":"1011.3023","n_code_links":0,"syntology":null},{"paper":"/paper/robust-pca-via-outlier-pursuit","slug":"robust-pca-via-outlier-pursuit","title":"Robust PCA via Outlier Pursuit","date":"2010-10-20","arxiv_id":"1010.4237","n_code_links":1,"syntology":null},{"paper":null,"slug":"rotation-invariant-face-detection-using","title":"Rotation Invariant Face Detection Using Wavelet, PCA and Radial Basis Function Networks","date":"2010-09-25","arxiv_id":"1009.04974","n_code_links":0,"syntology":null},{"paper":null,"slug":"extended-two-dimensional-pca-for-efficient","title":"Extended Two-Dimensional PCA for Efficient Face Representation and Recognition","date":"2010-04-06","arxiv_id":"1004.00755","n_code_links":0,"syntology":null},{"paper":null,"slug":"robust-multi-camera-view-face-recognition","title":"Robust multi-camera view face recognition","date":"2010-03-30","arxiv_id":"1003.05861","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-new-approach-to-content-based-file-type","title":"A new approach to content-based file type detection","date":"2010-02-17","arxiv_id":"1002.3174","n_code_links":0,"syntology":null},{"paper":null,"slug":"probabilistic-relational-pca","title":"Probabilistic Relational PCA","date":"2009-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"semi-supervised-learning-using-sparse","title":"Semi-supervised Learning using Sparse Eigenfunction Bases","date":"2009-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"structured-sparse-principal-component","title":"Structured Sparse Principal Component Analysis","date":"2009-09-08","arxiv_id":"0909.1440","n_code_links":0,"syntology":null},{"paper":null,"slug":"bayesian-exponential-family-pca","title":"Bayesian Exponential Family PCA","date":"2008-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"deflation-methods-for-sparse-pca","title":"Deflation Methods for Sparse PCA","date":"2008-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"fast-high-dimensional-kernel-summations-using","title":"Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method","date":"2008-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"reducing-statistical-dependencies-in-natural","title":"Reducing statistical dependencies in natural signals using radial Gaussianization","date":"2008-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"robust-kernel-principal-component-analysis","title":"Robust Kernel Principal Component Analysis","date":"2008-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"supervised-exponential-family-principal","title":"Supervised Exponential Family Principal Component Analysis via Convex Optimization","date":"2008-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"configuration-estimates-improve-pedestrian","title":"Configuration Estimates Improve Pedestrian Finding","date":"2007-12-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"r-1-pca-rotational-invariant-l-1-norm","title":"R 1 -PCA: Rotational Invariant L 1 -norm Principal Component Analysis for Robust Subspace Factorization","date":"2006-06-01","arxiv_id":null,"n_code_links":0,"syntology":null}],"record_sha256":"cc1d73f10801fb77d7369abe0bccbb0de8feb3892f12875c7ed7f411a059d4a1","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}