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AdaBoost
Known as:
Adaboosting
AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the Gödel Prize…
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Related topics
Related topics
34 relations
Adaptive algorithm
Backfitting algorithm
Backpropagation
Bag-of-words model in computer vision
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Broader (1)
Ensemble learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes
Jianqing Zhu
,
Sheng-Cai Liao
,
Z. Lei
,
S. Li
ACCV Workshops
2014
Corpus ID: 14931043
Recent works have shown that visual attributes are useful in a number of applications, such as object classification, recognition…
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2010
2010
Cost-sensitive Boosting for Concept Drift
A. Venkatesan
,
N. C. Krishnan
,
S. Panchanathan
2010
Corpus ID: 15965729
Concept drift is a phenomenon typically experienced when data distributions change continuously over a period of time. In this…
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2010
2010
Machine learning methods with time series dependence
B. McShane
2010
Corpus ID: 61051323
MACHINE LEARNING METHODS WITH TIME SERIES DEPENDENCE Blakeley B. McShane Abraham J. Wyner (Advisor) We introduce the PrAGMaTiSt…
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2009
2009
Query-By-Multiple-Examples using Support Vector Machines
Dell Zhang
,
Wee Sun Lee
Journal of Digital Information Management
2009
Corpus ID: 7279721
We identify and explore an Information Retrieval paradigm called Query-By-Multiple-Examples (QBME) where the information need is…
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2008
2008
Randomized trees for real-time one-step face detection and recognition
Vaishak Belle
,
Thomas Deselaers
,
S. Schiffer
International Conference on Pattern Recognition
2008
Corpus ID: 14090415
We present a system for detecting and recognizing faces in images in real-time which is able to learn new identities in instants…
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2007
2007
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
A. Fornês
,
Sergio Escalera
,
J. Lladós
,
Gemma Sánchez
,
P. Radeva
,
O. Pujol
Iberian Conference on Pattern Recognition and…
2007
Corpus ID: 14879932
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles…
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2007
2007
Online Selection of Tracking Features using AdaBoost
Ying-Jia Yeh
,
Chiou-Ting Hsu
International Conference on Computer…
2007
Corpus ID: 10861456
This paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the…
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2004
2004
Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification
C. Hernández-Espinosa
,
M. Fernández-Redondo
,
Joaquín Torres-Sospedra
International Conference on Knowledge-Based…
2004
Corpus ID: 18049746
A hyperspectral image is used in remote sensing to identify different type of coverts on the Earth surface. It is composed of…
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2003
2003
Component Fusion for Face Detection in the Presence of Heteroscedastic Noise
B. Xie
,
D. Comaniciu
,
Visvanathan Ramesh
,
M. Simon
,
T. Boult
DAGM-Symposium
2003
Corpus ID: 2200908
Face detection using components has been proved to produce superior results due to its robustness to occlusions and pose and…
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1999
1999
NOISE TOLERANT LEARNING USING EARLY PREDICTORS
S. Fine
,
Ran Gilad-Bachrach
,
E. Shamir
,
Naftali Tishby
1999
Corpus ID: 14482787
Generalization in most PAC learning analysis starts around O (d) examples, where d = V Cdim of the class. Nevertheless, analysis…
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