Efficient Learning of Relational Object Class Models
Data up to Jan 2025
Total Citations Per Year
Abstract
References (39)
Statistical Learning Theory
1999 • 27,709 citations
Rapid object detection using a boosted cascade of simple features
2005 • 17,160 citations
Experiments with a new boosting algorithm
1996 • 7,607 citations
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
2000 • 6,687 citations
Basic objects in natural categories
1976 • 5,360 citations
Visual categorization with bags of keypoints
2004 • 4,232 citations
Improved boosting algorithms using confidence-rated predictions
1998 • 2,601 citations
Pictorial Structures for Object Recognition
2004 • 2,212 citations
Object class recognition by unsupervised scale-invariant learning
2003 • 2,065 citations
Untitled
1999 • 1,904 citations
On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
2001 • 1,818 citations
Untitled
2001 • 1,202 citations
Learning to detect objects in images via a sparse, part-based representation
2004 • 857 citations
Combined Object Categorization and Segmentation With an Implicit Shape Model
2004 • 828 citations
The 2005 PASCAL Visual Object Classes Challenge
2006 • 747 citations
Visual features of intermediate complexity and their use in classification
2002 • 621 citations
Learning a Sparse Representation for Object Detection
2002 • 529 citations
Local feature view clustering for 3D object recognition
2005 • 483 citations
A Bayesian approach to unsupervised one-shot learning of object categories
2003 • 428 citations
Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes
2003 • 326 citations
Contextual Models for Object Detection Using Boosted Random Fields
2004 • 309 citations
Combining Top-Down and Bottom-Up Segmentation
2005 • 273 citations
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
2004 • 269 citations
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
2005 • 268 citations
Object recognition with informative features and linear classification
2003 • 264 citations
Discriminant Saliency for Visual Recognition from Cluttered Scenes
2004 • 198 citations
Generative versus Discriminative Methods for Object Recognition
2005 • 151 citations
Integrating representative and discriminant models for object category detection
2005 • 125 citations
Object Class Recognition Using Discriminative Local Features
2005 • 115 citations
Combining generative models and Fisher kernels for object recognition
2005 • 90 citations
A Discriminative Framework for Modelling Object Classes
2005 • 56 citations
A generative/discriminative learning algorithm for image classification
2005 • 52 citations
Machine learning challenges : evaluating predictive uncertainty visual object classification and recognizing textual entailment : First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005 : revised selected papers
2006 • 50 citations
A Family of Probabilistic Kernels Based on Information Divergence
2004 • 47 citations
Appearance Based Qualitative Image Description for Object Class Recognition
2004 • 45 citations
Object Class Recognition by Boosting a Part-Based Model
2005 • 40 citations
Efficient learning of relational object class models
2005 • 33 citations
Efficient Unsupervised Learning for Localization and Detection in Object Categories
2005 • 22 citations
Deleted Work
1955 • 0 citations
Cited By (0)
No citing papers found in database