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PAMI
2006
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13 years 10 months ago
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Sanja Fidler, Danijel Skocaj, Ales Leonardis
EMNLP
2006
14 years 4 days ago
Discriminative Methods for Transliteration
We present two discriminative methods for name transliteration. The methods correspond to local and global modeling approaches in modeling structured output spaces. Both methods d...
Dmitry Zelenko, Chinatsu Aone
ACL
2004
14 years 5 days ago
Discriminative Training of a Neural Network Statistical Parser
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
James Henderson
NIPS
2007
14 years 5 days ago
Discriminative Log-Linear Grammars with Latent Variables
We demonstrate that log-linear grammars with latent variables can be practically trained using discriminative methods. Central to efficient discriminative training is a hierarchi...
Slav Petrov, Dan Klein
CLOR
2006
14 years 2 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop
ECCV
2008
Springer
15 years 19 days ago
Learning to Recognize Activities from the Wrong View Point
Appearance features are good at discriminating activities in a fixed view, but behave poorly when aspect is changed. We describe a method to build features that are highly stable u...
Ali Farhadi, Mostafa Kamali Tabrizi
ICCV
2005
IEEE
15 years 20 days ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
CVPR
2006
IEEE
15 years 23 days ago
Perception Strategies in Hierarchical Vision Systems
Flat appearance-based systems, which combine clever image representations with standard classifiers, might be the most effective way to recognize objects using current technologie...
Lior Wolf, Stanley M. Bileschi, Ethan Meyers
CVPR
2005
IEEE
15 years 23 days ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop