{"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":"/task/dimensionality-reduction/papers/31","list_of":"/task/dimensionality-reduction","task":"Dimensionality Reduction","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":31,"pages_in_order":34,"rows_per_page":100,"rows":[3001,3100],"of":3304,"counts":{"archive_papers_tagged":3304,"with_a_code_link":857,"where_syntology_ran_a_sample":100,"not_listed_spam_title":0,"listed":3304,"listed_where_code_ran":100,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":84,"every_run_a_failure_of_syntologys_instrument":16,"listed_with_a_run_with_no_instrument_failure":84,"listed_every_run_a_failure_of_syntologys_instrument":16,"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":"/task/dimensionality-reduction","prev":"/task/dimensionality-reduction/papers/30","next":"/task/dimensionality-reduction/papers/32","papers":[{"url":null,"slug":"algorithmic-stability-and-uniform","title":"Algorithmic Stability and Uniform Generalization","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"alternating-co-quantization-for-cross-modal","title":"Alternating Co-Quantization for Cross-Modal Hashing","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"implicit-sparse-code-hashing","title":"Implicit Sparse Code Hashing","date":"2015-12-01","arxiv_id":"1512.00130","repositories_listed":0,"syntology":null},{"url":null,"slug":"space-time-local-embeddings","title":"Space-Time Local Embeddings","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-feature-selection","title":"Structured Feature Selection","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-normative-theory-of-adaptive-dimensionality","title":"A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks","date":"2015-11-30","arxiv_id":"1511.09426","repositories_listed":0,"syntology":null},{"url":null,"slug":"universality-laws-for-randomized-dimension","title":"Universality laws for randomized dimension reduction, with applications","date":"2015-11-30","arxiv_id":"1511.09433","repositories_listed":0,"syntology":null},{"url":null,"slug":"binding-constants-of-membrane-anchored","title":"Binding constants of membrane-anchored receptors and ligands: a general theory corroborated by Monte Carlo simulations","date":"2015-11-24","arxiv_id":"1511.07652","repositories_listed":0,"syntology":null},{"url":null,"slug":"icu-patient-deterioration-prediction-a-data","title":"ICU Patient Deterioration prediction: a Data-Mining Approach","date":"2015-11-21","arxiv_id":"1511.06910","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-clustering-for-scalable-statistical","title":"Fast clustering for scalable statistical analysis on structured images","date":"2015-11-16","arxiv_id":"1511.04898","repositories_listed":0,"syntology":null},{"url":null,"slug":"block-diagonal-covariance-selection-for-high","title":"Block-diagonal covariance selection for high-dimensional Gaussian graphical models","date":"2015-11-12","arxiv_id":"1511.04033","repositories_listed":0,"syntology":null},{"url":null,"slug":"pca-based-out-of-sample-extension-for","title":"PCA-Based Out-of-Sample Extension for Dimensionality Reduction","date":"2015-11-03","arxiv_id":"1511.00831","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistent-estimation-of-low-dimensional","title":"Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data","date":"2015-10-13","arxiv_id":"1510.03497","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-intrinsic-value-of-hfo-features-as-a","title":"The intrinsic value of HFO features as a biomarker of epileptic activity","date":"2015-10-13","arxiv_id":"1510.03507","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-filter-feature-selection-for","title":"A Comprehensive Filter Feature Selection for Improving Document Classification","date":"2015-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-and-large-scale-unsupervised-relation","title":"Fast and Large-scale Unsupervised Relation Extraction","date":"2015-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"foundations-of-coupled-nonlinear","title":"Foundations of Coupled Nonlinear Dimensionality Reduction","date":"2015-09-29","arxiv_id":"1509.08880","repositories_listed":0,"syntology":null},{"url":null,"slug":"word-graph-and-manifold-embedding-from-markov","title":"Word, graph and manifold embedding from Markov processes","date":"2015-09-18","arxiv_id":"1509.05808","repositories_listed":0,"syntology":null},{"url":null,"slug":"ranking-entities-in-the-age-of-two-webs-an","title":"Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets","date":"2015-09-15","arxiv_id":"1509.04525","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-making-high-dimensional-distance","title":"Towards Making High Dimensional Distance Metric Learning Practical","date":"2015-09-15","arxiv_id":"1509.04355","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-and-dimensionality-reduction-of","title":"Geometry and dimensionality reduction of feature spaces in primary visual cortex","date":"2015-09-14","arxiv_id":"1509.03942","repositories_listed":0,"syntology":null},{"url":null,"slug":"markov-boundary-discovery-with-ridge","title":"Markov Boundary Discovery with Ridge Regularized Linear Models","date":"2015-09-14","arxiv_id":"1509.03935","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-fuzzy-approach-for-feature-evaluation-and","title":"A Fuzzy Approach for Feature Evaluation and Dimensionality Reduction to Improve the Quality of Web Usage Mining Results","date":"2015-09-01","arxiv_id":"1509.00690","repositories_listed":0,"syntology":null},{"url":null,"slug":"factorization-of-latent-variables-in","title":"Factorization of Latent Variables in Distributional Semantic Models","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-evaluation-and-optimization-of-mt","title":"Improving evaluation and optimization of MT systems against MEANT","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"online-supervised-subspace-tracking","title":"Online Supervised Subspace Tracking","date":"2015-09-01","arxiv_id":"1509.00137","repositories_listed":0,"syntology":null},{"url":null,"slug":"topic-identification-and-discovery-on-text","title":"Topic Identification and Discovery on Text and Speech","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussian-mixture-models-with-component-means","title":"Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces","date":"2015-08-26","arxiv_id":"1508.06388","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiview-diffusion-maps","title":"MultiView Diffusion Maps","date":"2015-08-23","arxiv_id":"1508.05550","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-out-of-sample-extension-of-graph","title":"Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks","date":"2015-08-18","arxiv_id":"1508.04422","repositories_listed":0,"syntology":null},{"url":null,"slug":"dimensionality-reduction-of-collective-motion","title":"Dimensionality Reduction of Collective Motion by Principal Manifolds","date":"2015-08-13","arxiv_id":"1508.03332","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-manifolds-underlying-group-motion","title":"Identifying manifolds underlying group motion in Vicsek agents","date":"2015-08-12","arxiv_id":"1508.02809","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-sir-for-dimension-reduction","title":"Model-based SIR for dimension reduction","date":"2015-08-10","arxiv_id":"1508.02186","repositories_listed":0,"syntology":null},{"url":null,"slug":"dimension-reduction-for-model-based","title":"Dimension reduction for model-based clustering","date":"2015-08-07","arxiv_id":"1508.01713","repositories_listed":0,"syntology":null},{"url":null,"slug":"dimension-reduction-with-non-degrading","title":"Dimension Reduction with Non-degrading Generalization","date":"2015-08-05","arxiv_id":"1508.00984","repositories_listed":0,"syntology":null},{"url":null,"slug":"direct-estimation-of-the-derivative-of","title":"Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction","date":"2015-08-05","arxiv_id":"1508.01019","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-gauss-image-set-matching-on-the","title":"Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs","date":"2015-07-31","arxiv_id":"1507.08711","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-robust-pca-on-graphs","title":"Fast Robust PCA on Graphs","date":"2015-07-29","arxiv_id":"1507.08173","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-censoring-for-large-scale-regressions","title":"Online Censoring for Large-Scale Regressions with Application to Streaming Big Data","date":"2015-07-27","arxiv_id":"1507.07536","repositories_listed":0,"syntology":null},{"url":null,"slug":"dimensionality-reduced-subspace-clustering","title":"Dimensionality-reduced subspace clustering","date":"2015-07-25","arxiv_id":"1507.07105","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-of-the-classification-of-low","title":"A study of the classification of low-dimensional data with supervised manifold learning","date":"2015-07-21","arxiv_id":"1507.05880","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparsity-in-multivariate-extremes-with","title":"Sparsity in Multivariate Extremes with Applications to Anomaly Detection","date":"2015-07-21","arxiv_id":"1507.05899","repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-grid-characteristics-from","title":"Extracting grid characteristics from spatially distributed place cell inputs using non-negative PCA","date":"2015-07-14","arxiv_id":"1505.03711","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-approximate-matrix-product-in-terms","title":"Optimal approximate matrix product in terms of stable rank","date":"2015-07-08","arxiv_id":"1507.02268","repositories_listed":0,"syntology":null},{"url":null,"slug":"early-and-late-combinations-of-criteria-for","title":"Early and Late Combinations of Criteria for Reranking Distributional Thesauri","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-selection-for-short-text","title":"Feature Selection for Short Text Classification using Wavelet Packet Transform","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"new-transfer-learning-techniques-for","title":"New Transfer Learning Techniques for Disparate Label Sets","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"notes-on-low-rank-matrix-factorization","title":"Notes on Low-rank Matrix Factorization","date":"2015-06-30","arxiv_id":"1507.00333","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-single-trial-eeg-evoked-potential","title":"Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification","date":"2015-06-25","arxiv_id":"1506.07627","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagnosing-adhd-from-fmri-scans-using-hidden","title":"Diagnosing ADHD from fMRI Scans Using Hidden Markov Models","date":"2015-06-19","arxiv_id":"1506.06048","repositories_listed":0,"syntology":null},{"url":null,"slug":"isometric-sketching-of-any-set-via-the","title":"Isometric sketching of any set via the Restricted Isometry Property","date":"2015-06-11","arxiv_id":"1506.03521","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-maxout-features","title":"Random Maxout Features","date":"2015-06-11","arxiv_id":"1506.03705","repositories_listed":0,"syntology":null},{"url":"/paper/spectral-representations-for-convolutional","slug":"spectral-representations-for-convolutional","title":"Spectral Representations for Convolutional Neural Networks","date":"2015-06-11","arxiv_id":"1506.03767","repositories_listed":0,"syntology":null},{"url":null,"slug":"heteroscedastic-max-min-distance-analysis","title":"Heteroscedastic Max-Min Distance Analysis","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"non-orthogonal-explicit-semantic-analysis","title":"Non-Orthogonal Explicit Semantic Analysis","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"prhlt-combination-of-deep-autoencoders-with","title":"PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"projection-metric-learning-on-grassmann","title":"Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"usaar-sheffield-semantic-textual-similarity","title":"USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vector-space-models-for-scientific-document","title":"Vector Space Models for Scientific Document Summarization","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sufficient-forecasting-using-factor-models","title":"Sufficient Forecasting Using Factor Models","date":"2015-05-27","arxiv_id":"1505.07414","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequential-dimensionality-reduction-for","title":"Sequential Dimensionality Reduction for Extracting Localized Features","date":"2015-05-26","arxiv_id":"1505.06957","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-dimension-reduction-to-improve-the","title":"Using Dimension Reduction to Improve the Classification of High-dimensional Data","date":"2015-05-26","arxiv_id":"1505.06907","repositories_listed":0,"syntology":null},{"url":null,"slug":"oasis-adaptive-column-sampling-for-kernel","title":"oASIS: Adaptive Column Sampling for Kernel Matrix Approximation","date":"2015-05-19","arxiv_id":"1505.05208","repositories_listed":0,"syntology":null},{"url":null,"slug":"spike-and-slab-gaussian-process-latent","title":"Spike and Slab Gaussian Process Latent Variable Models","date":"2015-05-10","arxiv_id":"1505.02434","repositories_listed":0,"syntology":null},{"url":null,"slug":"trees-assembling-mann-whitney-approach-for","title":"Trees Assembling Mann Whitney Approach for Detecting Genome-wide Joint Association among Low Marginal Effect loci","date":"2015-05-05","arxiv_id":"1505.01206","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-expressive-decompositions-for-matrix","title":"Self-Expressive Decompositions for Matrix Approximation and Clustering","date":"2015-05-04","arxiv_id":"1505.00824","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-pca-to-efficiently-represent-state","title":"Using PCA to Efficiently Represent State Spaces","date":"2015-05-02","arxiv_id":"1505.00322","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-order-low-rank-tensors-for-semantic-role","title":"High-Order Low-Rank Tensors for Semantic Role Labeling","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nasari-a-novel-approach-to-a-semantically","title":"NASARI: a Novel Approach to a Semantically-Aware Representation of Items","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-principal-component-analysis-on-graphs","title":"Robust Principal Component Analysis on Graphs","date":"2015-04-23","arxiv_id":"1504.06151","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-discriminative-feature-selection","title":"Effective Discriminative Feature Selection with Non-trivial Solutions","date":"2015-04-21","arxiv_id":"1504.05408","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-randomized-dimension-reduction-on","title":"Adaptive Randomized Dimension Reduction on Massive Data","date":"2015-04-13","arxiv_id":"1504.03183","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-measurements-and-joint","title":"Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version","date":"2015-04-13","arxiv_id":"1504.03285","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-component-analysis-unraveling","title":"Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks","date":"2015-04-10","arxiv_id":"1504.02719","repositories_listed":0,"syntology":null},{"url":null,"slug":"maximum-entropy-linear-manifold-for-learning","title":"Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation","date":"2015-04-10","arxiv_id":"1504.02622","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-categorization-axioms","title":"Generalized Categorization Axioms","date":"2015-03-31","arxiv_id":"1503.09082","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-validation-of-matching-correlation","title":"Cross-validation of matching correlation analysis by resampling matching weights","date":"2015-03-29","arxiv_id":"1503.08471","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-item-based-collaborative-filtering-using","title":"An Item-Based Collaborative Filtering using Dimensionality Reduction Techniques on Mahout Framework","date":"2015-03-23","arxiv_id":"1503.06562","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-model-compression-for-multilayer","title":"Unsupervised model compression for multilayer bootstrap networks","date":"2015-03-22","arxiv_id":"1503.06452","repositories_listed":0,"syntology":null},{"url":null,"slug":"reduced-basis-decomposition-a-certified-and","title":"Reduced Basis Decomposition: a Certified and Fast Lossy Data Compression Algorithm","date":"2015-03-19","arxiv_id":"1503.05947","repositories_listed":0,"syntology":null},{"url":null,"slug":"hypoelliptic-diffusion-maps-i-tangent-bundles","title":"Hypoelliptic Diffusion Maps I: Tangent Bundles","date":"2015-03-17","arxiv_id":"1503.05459","repositories_listed":0,"syntology":null},{"url":null,"slug":"2d-face-recognition-system-based-on-selected","title":"2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA","date":"2015-03-12","arxiv_id":"1503.03741","repositories_listed":0,"syntology":null},{"url":null,"slug":"functional-inverse-regression-in-an-enlarged","title":"Functional Inverse Regression in an Enlarged Dimension Reduction Space","date":"2015-03-12","arxiv_id":"1503.03673","repositories_listed":0,"syntology":null},{"url":null,"slug":"diverse-landmark-sampling-from-determinantal","title":"Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning","date":"2015-03-11","arxiv_id":"1503.03506","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-iterative-algorithm-for-robust","title":"Scalable Iterative Algorithm for Robust Subspace Clustering","date":"2015-03-05","arxiv_id":"1503.01578","repositories_listed":0,"syntology":null},{"url":null,"slug":"puzzle-imaging-using-large-scale","title":"Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization","date":"2015-02-27","arxiv_id":"1502.07816","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-convolutional-approximations-to-linear","title":"On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing","date":"2015-02-25","arxiv_id":"1502.07017","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-multivariate-factor-regression","title":"Sparse Multivariate Factor Regression","date":"2015-02-25","arxiv_id":"1502.07334","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-consistency-theory-of-high-dimensional","title":"On the consistency theory of high dimensional variable screening","date":"2015-02-24","arxiv_id":"1502.06895","repositories_listed":0,"syntology":null},{"url":null,"slug":"personalising-mobile-advertising-based-on","title":"Personalising Mobile Advertising Based on Users Installed Apps","date":"2015-02-24","arxiv_id":"1503.00587","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-equivalence-of-information-theoretic-and","title":"The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction","date":"2015-02-24","arxiv_id":"1308.3542","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-confident-information-first-principle-for","title":"A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines","date":"2015-02-05","arxiv_id":"1502.01705","repositories_listed":0,"syntology":null},{"url":null,"slug":"laplacian-mixture-modeling-for-network","title":"Laplacian Mixture Modeling for Network Analysis and Unsupervised Learning on Graphs","date":"2015-02-03","arxiv_id":"1502.00727","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimized-projection-for-sparse","title":"Optimized Projection for Sparse Representation Based Classification","date":"2015-01-31","arxiv_id":"1502.00115","repositories_listed":0,"syntology":null},{"url":null,"slug":"shoe-supervised-hashing-with-output","title":"SHOE: Supervised Hashing with Output Embeddings","date":"2015-01-30","arxiv_id":"1502.00030","repositories_listed":0,"syntology":null},{"url":null,"slug":"it-map-an-effective-nonlinear-dimensionality","title":"IT-map: an Effective Nonlinear Dimensionality Reduction Method for Interactive Clustering","date":"2015-01-26","arxiv_id":"1501.06450","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-autoencoders-for-dimensionality","title":"Deep Autoencoders for Dimensionality Reduction of High-Content Screening Data","date":"2015-01-07","arxiv_id":"1501.01348","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simple-coding-for-cross-domain-matching","title":"A simple coding for cross-domain matching with dimension reduction via spectral graph embedding","date":"2014-12-29","arxiv_id":"1412.8380","repositories_listed":0,"syntology":null},{"url":null,"slug":"outperforming-word2vec-on-analogy-tasks-with","title":"Outperforming Word2Vec on Analogy Tasks with Random Projections","date":"2014-12-20","arxiv_id":"1412.6616","repositories_listed":0,"syntology":null},{"url":null,"slug":"rehabilitation-of-count-based-models-for-word","title":"Rehabilitation of Count-based Models for Word Vector Representations","date":"2014-12-16","arxiv_id":"1412.4930","repositories_listed":0,"syntology":null}],"record_sha256":"da1d16f2fe43b65ac2540986656465b0777dc7586e7a4cb093c6f88c1151de1e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}