SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 7701–7750 of 14581 papers

TitleStatusHype
Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric—0
Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data—0
Multiple Kernel Learning for Brain-Computer Interfacing—0
Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification—0
Multiple kernel multivariate performance learning using cutting plane algorithm—0
Multiple Manifolds Metric Learning with Application to Image Set Classification—0
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models—0
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector—0
Multiple Range-Restricted Bidirectional Gated Recurrent Units with Attention for Relation Classification—0
Multiple Regularizations Deep Learning for Paddy Growth Stages Classification from LANDSAT-8—0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning—0
Multiple Sclerosis Severity Classification From Clinical Text—0
Image Segmentation, Compression and Reconstruction from Edge Distribution Estimation with Random Field and Random Cluster Theories—0
Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning—0
Multiple VLAD encoding of CNNs for image classification—0
Multiplexed Illumination for Classifying Visually Similar Objects—0
Multi-Prediction Deep Boltzmann Machines—0
Multi-q Pattern Classification of Polarization Curves—0
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings—0
Multi-Resolution Dual-Tree Wavelet Scattering Network for Signal Classification—0
Multiresolution Match Kernels for Gesture Video Classification—0
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss—0
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma—0
Multi-scale Discriminant Saliency with Wavelet-based Hidden Markov Tree Modelling—0
Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging—0
Multi-scale Embedded CNN for Music Tagging (MsE-CNN)—0
Multi-scale Forest Species Recognition Systems for Reduced Cost—0
Multiscale Fractal Descriptors Applied to Texture Classification—0
Multi-Scale Local Shape Analysis and Feature Selection in Machine Learning Applications—0
Multi-scale Orderless Pooling of Deep Convolutional Activation Features—0
Multi-scale prediction for robust hand detection and classification—0
Multi-Scale RCNN Model for Financial Time-series Classification—0
Multi-scale recognition with DAG-CNNs—0
Multi-Scale Saliency Detection using Dictionary Learning—0
Multi-Scale Self-Attention for Text Classification—0
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification—0
Multi-Shot Person Re-Identification via Relational Stein Divergence—0
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits—0
Multi-source Domain Adaptation for Visual Sentiment Classification—0
Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery—0
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals—0
Multi-Speaker Localization Using Convolutional Neural Network Trained with Noise—0
Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology—0
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning—0
Multi-Stage Feature Selection Based Intelligent Classifier for Classification of Incipient Stage Fire in Building—0
Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks—0
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images—0
Multi-Stage Pathological Image Classification using Semantic Segmentation—0
Multi-Subspace Neural Network for Image Recognition—0
Multi-Target Deep Learning for Algal Detection and Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified