{"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/classification-1/papers/124","list_of":"/task/classification-1","task":"Classification","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":124,"pages_in_order":129,"rows_per_page":100,"rows":[12301,12400],"of":12815,"counts":{"archive_papers_tagged":12815,"with_a_code_link":3778,"where_syntology_ran_a_sample":582,"not_listed_spam_title":0,"listed":12815,"listed_where_code_ran":582,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":457,"every_run_a_failure_of_syntologys_instrument":125,"listed_with_a_run_with_no_instrument_failure":457,"listed_every_run_a_failure_of_syntologys_instrument":125,"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/classification-1","prev":"/task/classification-1/papers/123","next":"/task/classification-1/papers/125","papers":[{"url":null,"slug":"term-weighting-learning-via-genetic","title":"Term-Weighting Learning via Genetic Programming for Text Classification","date":"2014-10-02","arxiv_id":"1410.0640","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-selectional-preference-models","title":"A Comparison of Selectional Preference Models for Automatic Verb Classification","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-joint-segmentation-and-classification","title":"A Joint Segmentation and Classification Framework for Sentiment Analysis","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dcu-uvt-word-level-language-classification","title":"DCU-UVT: Word-Level Language Classification with Code-Mixed Data","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-timegraphs-in-temporal-relation","title":"Exploiting Timegraphs in Temporal Relation Classification","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-discriminative-classification","title":"Hierarchical Discriminative Classification for Text-Based Geolocation","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-chinese-sentence-polarity","title":"Improving Chinese Sentence Polarity Classification via Opinion Paraphrasing","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-graph-based-genre","title":"Semi-supervised Graph-based Genre Classification for Web Pages","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-multivariate-sequence","title":"Efficient multivariate sequence classification","date":"2014-09-29","arxiv_id":"1409.8211","repositories_listed":0,"syntology":null},{"url":null,"slug":"maximum-mutual-information-regularized","title":"Maximum mutual information regularized classification","date":"2014-09-27","arxiv_id":"1409.7780","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-classification-with-a-deep-network","title":"Image Classification with A Deep Network Model based on Compressive Sensing","date":"2014-09-25","arxiv_id":"1409.7307","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-classification-for-natural","title":"Semi-supervised Classification for Natural Language Processing","date":"2014-09-25","arxiv_id":"1409.7612","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-non-linear-learning-classification","title":"A non-linear learning & classification algorithm that achieves full training accuracy with stellar classification accuracy","date":"2014-09-23","arxiv_id":"1409.6440","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-dictionary-learning-in-sparse","title":"Active Dictionary Learning in Sparse Representation Based Classification","date":"2014-09-19","arxiv_id":"1409.5763","repositories_listed":0,"syntology":null},{"url":null,"slug":"fingerprint-classification-based-on-depth","title":"Fingerprint Classification Based on Depth Neural Network","date":"2014-09-18","arxiv_id":"1409.5188","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-mixtures-of-experts-framework-for-multi","title":"A Mixtures-of-Experts Framework for Multi-Label Classification","date":"2014-09-16","arxiv_id":"1409.4698","repositories_listed":0,"syntology":null},{"url":null,"slug":"compute-less-to-get-more-using-orc-to-improve","title":"Compute Less to Get More: Using ORC to Improve Sparse Filtering","date":"2014-09-16","arxiv_id":"1409.4689","repositories_listed":0,"syntology":null},{"url":null,"slug":"multivariate-comparison-of-classification","title":"Multivariate Comparison of Classification Algorithms","date":"2014-09-16","arxiv_id":"1409.4566","repositories_listed":0,"syntology":null},{"url":null,"slug":"eant-miner-an-ensemble-ant-miner-to-improve","title":"eAnt-Miner : An Ensemble Ant-Miner to Improve the ACO Classification","date":"2014-09-09","arxiv_id":"1409.2710","repositories_listed":0,"syntology":null},{"url":null,"slug":"weighted-classification-cascades-for","title":"Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge","date":"2014-09-09","arxiv_id":"1409.2655","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-classification-using-the-dempster-shafer","title":"Data classification using the Dempster-Shafer method","date":"2014-09-02","arxiv_id":"1409.0763","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-and-classification-using","title":"Image Retrieval And Classification Using Local Feature Vectors","date":"2014-09-02","arxiv_id":"1409.0749","repositories_listed":0,"syntology":null},{"url":null,"slug":"comment-on-ensemble-projection-for-semi","title":"Comment on \"Ensemble Projection for Semi-supervised Image Classification\"","date":"2014-08-29","arxiv_id":"1408.6963","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-graph-based-transduction-for-image","title":"Sparse Graph-based Transduction for Image Classification","date":"2014-08-26","arxiv_id":"1408.6257","repositories_listed":0,"syntology":null},{"url":null,"slug":"bet-bayesian-ensemble-trees-for-clustering","title":"BET: Bayesian Ensemble Trees for Clustering and Prediction in Heterogeneous Data","date":"2014-08-18","arxiv_id":"1408.4140","repositories_listed":0,"syntology":null},{"url":null,"slug":"action-classification-with-locality","title":"Action Classification with Locality-constrained Linear Coding","date":"2014-08-17","arxiv_id":"1408.3810","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-sequences-by-the-optimized","title":"Classifying sequences by the optimized dissimilarity space embedding approach: a case study on the solubility analysis of the E. coli proteome","date":"2014-08-17","arxiv_id":"1408.3873","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-multi-scale-representations-for","title":"Learning Multi-Scale Representations for Material Classification","date":"2014-08-13","arxiv_id":"1408.2938","repositories_listed":0,"syntology":null},{"url":null,"slug":"modulation-classification-via-gibbs-sampling","title":"Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network","date":"2014-08-04","arxiv_id":"1408.0765","repositories_listed":0,"syntology":null},{"url":null,"slug":"assigning-terms-to-domains-by-document","title":"Assigning Terms to Domains by Document Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-classification-of-communicative","title":"Automatic Classification of Communicative Functions of Definiteness","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"buap-polarity-classification-of-short-texts","title":"BUAP: Polarity Classification of Short Texts","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cmuq-hybrid-sentiment-classification-by","title":"CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contentcontextclassification-examining-the","title":"Content+Context=Classification: Examining the Roles of Social Interactions and Linguist Content in Twitter User Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"coooolll-a-deep-learning-system-for-twitter","title":"Coooolll: A Deep Learning System for Twitter Sentiment Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dcu-aspect-based-polarity-classification-for","title":"DCU: Aspect-based Polarity Classification for SemEval Task 4","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dlirec-aspect-term-extraction-and-term","title":"DLIREC: Aspect Term Extraction and Term Polarity Classification System","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-based-medical-relation","title":"Ensemble-Based Medical Relation Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-deep-belief-networks-for-semi","title":"Hybrid Deep Belief Networks for Semi-supervised Sentiment Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-sentence-level-arabic-dialect","title":"Improved Sentence-Level Arabic Dialect Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-dynamic-model-with-category-transition","title":"Latent Dynamic Model with Category Transition Constraint for Opinion Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lyrics-based-analysis-and-classification-of","title":"Lyrics-based Analysis and Classification of Music","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"prior-informed-distant-supervision-for","title":"Prior-informed Distant Supervision for Temporal Evidence Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentiment-classification-with-graph-co","title":"Sentiment Classification with Graph Co-Regularization","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ulisboa-identification-and-classification-of","title":"ULisboa: Identification and Classification of Medical Concepts","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"usf-chunking-for-aspect-term-identification","title":"USF: Chunking for Aspect-term Identification \\& Polarity Classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-unmarked-contexts-in-nominal-lexical","title":"Using unmarked contexts in nominal lexical semantic classification","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"xrce-hybrid-classification-for-aspect-based","title":"XRCE: Hybrid Classification for Aspect-based Sentiment Analysis","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"text-classification-using-association-rules","title":"Text Classification Using Association Rules, Dependency Pruning and Hyperonymization","date":"2014-07-28","arxiv_id":"1407.7357","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-evaluation-of-wavelet-scattering","title":"Performance evaluation of wavelet scattering network in image texture classification in various color spaces","date":"2014-07-24","arxiv_id":"1407.6423","repositories_listed":0,"syntology":null},{"url":null,"slug":"quadratically-constrained-quadratic","title":"Quadratically constrained quadratic programming for classification using particle swarms and applications","date":"2014-07-23","arxiv_id":"1407.6315","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-passes-in-football-matches","title":"Classification of Passes in Football Matches using Spatiotemporal Data","date":"2014-07-18","arxiv_id":"1407.5093","repositories_listed":0,"syntology":null},{"url":null,"slug":"likelihood-free-inference-via-classification","title":"Likelihood-free inference via classification","date":"2014-07-18","arxiv_id":"1407.4981","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-landcover-fuzzy-logic-classification-by","title":"An landcover fuzzy logic classification by maximumlikelihood","date":"2014-07-17","arxiv_id":"1407.4739","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-classification-of-sdss","title":"Machine Learning Classification of SDSS Transient Survey Images","date":"2014-07-15","arxiv_id":"1407.4118","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-based-approximate-policy","title":"Classification-based Approximate Policy Iteration: Experiments and Extended Discussions","date":"2014-07-02","arxiv_id":"1407.0449","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometric-tight-frame-based-stylometry-for","title":"Geometric Tight Frame based Stylometry for Art Authentication of van Gogh Paintings","date":"2014-07-02","arxiv_id":"1407.0439","repositories_listed":0,"syntology":null},{"url":null,"slug":"genre-classification-using-balanced-winnow-in","title":"Genre classification using Balanced Winnow in the DEFT 2014 challenge","date":"2014-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mind-the-nuisance-gaussian-process","title":"Mind the Nuisance: Gaussian Process Classification using Privileged Noise","date":"2014-07-01","arxiv_id":"1407.0179","repositories_listed":0,"syntology":null},{"url":"/paper/a-new-hierarchical-method-for-inter-patient","slug":"a-new-hierarchical-method-for-inter-patient","title":"A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals","date":"2014-06-30","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rates-of-convergence-for-nearest-neighbor","title":"Rates of Convergence for Nearest Neighbor Classification","date":"2014-06-30","arxiv_id":"1407.0067","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-image-classification-by-pooling-raw","title":"Face Image Classification by Pooling Raw Features","date":"2014-06-26","arxiv_id":"1406.6811","repositories_listed":0,"syntology":null},{"url":"/paper/committees-of-deep-feedforward-networks","slug":"committees-of-deep-feedforward-networks","title":"Committees of deep feedforward networks trained with few data","date":"2014-06-23","arxiv_id":"1406.5947","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-inter-session-variability-modelling-for","title":"Local Inter-Session Variability Modelling for Object Classification","date":"2014-06-23","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-phrase-structure-learning-methods","title":"A survey on phrase structure learning methods for text classification","date":"2014-06-21","arxiv_id":"1406.5598","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-experimental-evaluation-of-nearest","title":"An Experimental Evaluation of Nearest Neighbour Time Series Classification","date":"2014-06-18","arxiv_id":"1406.4757","repositories_listed":0,"syntology":null},{"url":null,"slug":"mass-classification-method-in-mammogram-using","title":"Mass Classification Method in Mammogram Using Fuzzy K-Nearest Neighbour Equality","date":"2014-06-18","arxiv_id":"1406.4770","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-fado-music-classification","title":"Automatic Fado Music Classification","date":"2014-06-17","arxiv_id":"1406.4447","repositories_listed":0,"syntology":null},{"url":null,"slug":"notes-on-hierarchical-ensemble-methods-for","title":"Notes on hierarchical ensemble methods for DAG-structured taxonomies","date":"2014-06-17","arxiv_id":"1406.4472","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-theory-of-granular-sets","title":"Towards a theory of granular sets","date":"2014-06-17","arxiv_id":"1406.4324","repositories_listed":0,"syntology":null},{"url":null,"slug":"restricted-boltzmann-machine-for","title":"Restricted Boltzmann Machine for Classification with Hierarchical Correlated Prior","date":"2014-06-13","arxiv_id":"1406.3407","repositories_listed":0,"syntology":null},{"url":null,"slug":"bird-species-categorization-using-pose","title":"Bird Species Categorization Using Pose Normalized Deep Convolutional Nets","date":"2014-06-11","arxiv_id":"1406.2952","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-deep-haar-scattering-on-graphs","title":"Unsupervised Deep Haar Scattering on Graphs","date":"2014-06-09","arxiv_id":"1406.2390","repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-dictionary-learning-for","title":"Structured Dictionary Learning for Classification","date":"2014-06-08","arxiv_id":"1406.1943","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-approach-for-text-and","title":"Machine learning approach for text and document mining","date":"2014-06-06","arxiv_id":"1406.1580","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-classification-based-stock","title":"Supervised classification-based stock prediction and portfolio optimization","date":"2014-06-03","arxiv_id":"1406.0824","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-classification-with-bags-groups-and-sets","title":"On Classification with Bags, Groups and Sets","date":"2014-06-02","arxiv_id":"1406.0281","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-perspective-on-material-classification","title":"A New Perspective on Material Classification and Ink Identification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-arabic-named-entity-recognition","title":"A Survey of Arabic Named Entity Recognition and Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-object-detection-with-joint","title":"Accurate Object Detection with Joint Classification-Regression Random Forests","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-recursive-neural-network-for-target","title":"Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bilingual-active-learning-for-relation","title":"Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-histology-sections-via","title":"Classification of Histology Sections via Multispectral Convolutional Sparse Coding","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"collective-stance-classification-of-posts-in","title":"Collective Stance Classification of Posts in Online Debate Forums","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-word-patterns-and-discourse-markers","title":"Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"compact-representation-for-image","title":"Compact Representation for Image Classification: To Choose or to Compress?","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"costa-co-occurrence-statistics-for-zero-shot","title":"COSTA: Co-Occurrence Statistics for Zero-Shot Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dirichlet-based-histogram-feature-transform","title":"Dirichlet-based Histogram Feature Transform for Image Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminative-ferns-ensemble-for-hand-pose","title":"Discriminative Ferns Ensemble for Hand Pose Recognition","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-linear-regression-based-classification","title":"Dual Linear Regression Based Classification for Face Cluster Recognition","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-feature-extraction-encoding-and","title":"Efficient Feature Extraction, Encoding and Classification for Action Recognition","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hash-svm-scalable-kernel-machines-for-large","title":"Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-feature-hashing-for-fast","title":"Hierarchical Feature Hashing for Fast Dimensionality Reduction","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-citation-polarity-classification","title":"Improving Citation Polarity Classification with Product Reviews","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-classification-based-natural","title":"Improving Classification-Based Natural Language Understanding with Non-Expert Annotation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-learning-of-ncm-forests-for-large","title":"Incremental Learning of NCM Forests for Large-Scale Image Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lacunarity-analysis-on-image-patterns-for","title":"Lacunarity Analysis on Image Patterns for Texture Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-dictionary-learning-for-sparse","title":"Latent Dictionary Learning for Sparse Representation based Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-euclidean-to-riemannian-metric-for","title":"Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-important-spatial-pooling-regions","title":"Learning Important Spatial Pooling Regions for Scene Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"13be804f1547eac471594cb63bf50739214d81c76f83d2f32635961ea418abc3","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}