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Tracking-Learning-Detection

IEEE transactions on pattern analysis and machine intelligence, 2012-07, Vol.34 (7), p.1409-1422

2012

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Task-Driven Dictionary Learning

IEEE transactions on pattern analysis and machine intelligence, 2012-04, Vol.34 (4), p.791-804

2012

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Learning from Imbalanced Data

IEEE transactions on knowledge and data engineering, 2009-09, Vol.21 (9), p.1263-1284

2009

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Learning Discriminant Face Descriptor

IEEE transactions on pattern analysis and machine intelligence, 2014-02, Vol.36 (2), p.289-302

2014

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The dropout learning algorithm

Artificial intelligence, 2014-05, Vol.210, p.78-122

2014

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Online Transfer Learning

Artificial intelligence, 2014-11, Vol.216, p.76-102

2014

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A Survey on Transfer Learning

IEEE transactions on knowledge and data engineering, 2010-10, Vol.22 (10), p.1345-1359

2010

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Domain Transfer Multiple Kernel Learning

IEEE transactions on pattern analysis and machine intelligence, 2012-03, Vol.34 (3), p.465-479

2012

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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.635-641

2014

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On evaluating stream learning algorithms

Machine learning, 2013-03, Vol.90 (3), p.317-346

2013

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Orthogonal Learning Particle Swarm Optimization

IEEE transactions on evolutionary computation, 2011-12, Vol.15 (6), p.832-847

2011

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Learning Graph Matching

IEEE transactions on pattern analysis and machine intelligence, 2009-06, Vol.31 (6), p.1048-1058

2009

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Extreme Learning Machines [Trends & Controversies]

IEEE intelligent systems, 2013-11, Vol.28 (6), p.30-59

2013

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Adaptive Manifold Learning

IEEE transactions on pattern analysis and machine intelligence, 2012-02, Vol.34 (2), p.253-265

2012

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A new learning paradigm: Learning using privileged information

Neural networks, 2009-07, Vol.22 (5), p.544-557

2009

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Multi-instance multi-label learning

Artificial intelligence, 2012, Vol.176 (1), p.2291-2320

2012

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Learning with Hierarchical-Deep Models

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1958-1971

2013

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DynaLearn — An Intelligent Learning Environment for Learning Conceptual Knowledge

The AI magazine, 2013-12, Vol.34 (4), p.46-65

2013

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Robust extreme learning machine

Neurocomputing (Amsterdam), 2013-02, Vol.102, p.31-44

2013

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From machine learning to machine reasoning: An essay

Machine learning, 2014-02, Vol.94 (2), p.133-149

Bottou, Léon

2014

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A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation

Machine learning, 2014-02, Vol.94 (2), p.233-259

2014

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Riemannian Manifold Learning

IEEE transactions on pattern analysis and machine intelligence, 2008-05, Vol.30 (5), p.796-809

2008

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Design and development of an innovative individualized adaptive and intelligent e-learning system for teaching–learning of probability unit: Details of UZWEBMAT

Expert systems with applications, 2013-06, Vol.40 (8), p.2914-2940

2013

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Feature Selection and Kernel Learning for Local Learning-Based Clustering

IEEE transactions on pattern analysis and machine intelligence, 2011-08, Vol.33 (8), p.1532-1547

2011

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Learning Local Feature Descriptors Using Convex Optimisation

IEEE transactions on pattern analysis and machine intelligence, 2014-08, Vol.36 (8), p.1573-1585

2014

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Tracking-Learning-Detection

Task-Driven Dictionary Learning

Learning from Imbalanced Data

Learning Discriminant Face Descriptor

The dropout learning algorithm

Online Transfer Learning

A Survey on Transfer Learning

Domain Transfer Multiple Kernel Learning

Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

On evaluating stream learning algorithms

Orthogonal Learning Particle Swarm Optimization

Learning Graph Matching

Extreme Learning Machines [Trends & Controversies]

Adaptive Manifold Learning

A new learning paradigm: Learning using privileged information

Multi-instance multi-label learning

Learning with Hierarchical-Deep Models

DynaLearn — An Intelligent Learning Environment for Learning Conceptual Knowledge

Robust extreme learning machine

From machine learning to machine reasoning: An essay

A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation

Riemannian Manifold Learning

Design and development of an innovative individualized adaptive and intelligent e-learning system for teaching–learning of probability unit: Details of UZWEBMAT

Feature Selection and Kernel Learning for Local Learning-Based Clustering

Learning Local Feature Descriptors Using Convex Optimisation

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