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Learning Boosted Asymmetric Classifiers for Object Detection

https://doi.org/10.1109/cvpr.2006.166

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

inferredcites →https://doi.org/10.1007/3-540-36434-x_4openalex-snapshot

An Introduction to Boosting and Leveraging

inferredcites →https://doi.org/10.1007/3-540-47979-1_5openalex-snapshot

Statistical Learning of Multi-view Face Detection

inferredcites →https://doi.org/10.1007/bf00116037openalex-snapshot

The strength of weak learnability

inferredcites →https://doi.org/10.1007/bfb0026689openalex-snapshot

Boosting trees for cost-sensitive classifications

inferredcites →https://doi.org/10.1023/a:1007614523901openalex-snapshot

Improved Boosting Algorithms Using Confidence-rated Predictions

inferredcites →https://doi.org/10.1023/a:1022648800760openalex-snapshot

The Strength of Weak Learnability

inferredcites →https://doi.org/10.1093/bioinformatics/btf867openalex-snapshot

Boosting for tumor classification with gene expression data

inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot

Rapid object detection using a boosted cascade of simple features

inferredcites →https://doi.org/10.1109/icme.2003.1221654openalex-snapshot

Robust real-time face detection based on cost-sensitive AdaBoost method

inferredcites →https://doi.org/10.1109/icpr.2004.1334239openalex-snapshot

Boosting nested cascade detector for multi-view face detection

inferredcites →https://doi.org/10.1142/s0218001493000352openalex-snapshot

BOOSTING PERFORMANCE IN NEURAL NETWORKS

inferredcites →https://doi.org/10.1145/174644.174647openalex-snapshot

Cryptographic Limitations on Learning Boolean Formulae and Finite Automata

inferredcites →https://doi.org/10.1145/279943.279960openalex-snapshot

Improved boosting algorithms using confidence-rated predictions

inferredcites →https://doi.org/10.1145/502512.502565openalex-snapshot

Experimental comparisons of online and batch versions of bagging and boosting

inferredcites →https://doi.org/10.1162/089976600300015178openalex-snapshot

Boosting Neural Networks

inferredcites →https://doi.org/10.1214/aos/1016218223openalex-snapshot

Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

inferredcites →https://doi.org/10.3929/ethz-a-004297826openalex-snapshot

How to use boosting for tumor classification with gene expression data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-00536-2_31openalex-snapshot

Face Detection Based on Cost-Gentle Adaboost Algorithm

inferred← citeshttps://doi.org/10.1007/978-3-319-50551-0_5openalex-snapshot

Driver Drowsiness Detection

inferred← citeshttps://doi.org/10.1007/978-3-642-01507-6_88openalex-snapshot

Asymmetric Learning for Pedestrian Detection Based on Joint Local Orientation Histograms

inferred← citeshttps://doi.org/10.1007/978-3-642-19315-6_14openalex-snapshot

Asymmetric Totally-Corrective Boosting for Real-Time Object Detection

inferred← citeshttps://doi.org/10.1007/978-3-642-53842-1_26openalex-snapshot

Global Haar-Like Features: A New Extension of Classic Haar Features for Efficient Face Detection in Noisy Images

inferred← citeshttps://doi.org/10.1016/j.patrec.2009.08.014openalex-snapshot

Gabor-based dynamic representation for human fatigue monitoring in facial image sequences

inferred← citeshttps://doi.org/10.1016/j.sigpro.2014.10.030openalex-snapshot

Inferring occluded features for fast object detection

inferred← citeshttps://doi.org/10.1016/s1874-1029(08)60115-9openalex-snapshot

A Comprehensive Study for Asymmetric AdaBoost and Its Application in Object Detection

inferred← citeshttps://doi.org/10.1109/afgr.2008.4813461openalex-snapshot

Multi-scale dynamic human fatigue detection with feature level fusion

inferred← citeshttps://doi.org/10.1109/cvpr.2007.383083openalex-snapshot

Online Learning Asymmetric Boosted Classifiers for Object Detection

inferred← citeshttps://doi.org/10.1109/cvpr.2007.383156openalex-snapshot

Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set

inferred← citeshttps://doi.org/10.1109/icci-cc.2013.6622265openalex-snapshot

An Improved AdaBoost face detection algorithm based on the weighting parameters of weak classifier

inferred← citeshttps://doi.org/10.1109/iccv.2007.4408860openalex-snapshot

High Detection-rate Cascades for Real-Time Object Detection

inferred← citeshttps://doi.org/10.1109/iri.2007.4296646openalex-snapshot

Effective Cue Integration for Fast and Robust Face Detection in Videos

inferred← citeshttps://doi.org/10.1109/tnnls.2011.2178324openalex-snapshot

Fast and Robust Object Detection Using Asymmetric Totally Corrective Boosting

inferred← citeshttps://doi.org/10.1109/tpami.2011.281openalex-snapshot

Learning Optimal Embedded Cascades

inferred← citeshttps://doi.org/10.1142/s0218001407005880openalex-snapshot

BOOSTED GAUSSIAN CLASSIFIER WITH INTEGRAL HISTOGRAM FOR FACE DETECTION

inferred← citeshttps://doi.org/10.1145/1367497.1367508openalex-snapshot

Floatcascade learning for fast imbalanced web mining

inferred← citeshttps://doi.org/10.1155/2014/860517openalex-snapshot

Driver Fatigue Features Extraction

inferred← citeshttps://doi.org/10.15625/1813-9663/28/4/2363openalex-snapshot

Bounding the asymmetric error of a convex combination of classifiers.

inferred← citeshttps://doi.org/10.32657/10356/15664openalex-snapshot

Principled asymmetric boosting approaches to rapid training and classification in face detection

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