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» Learning Generative Models via Discriminative Approaches
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IPMI
2007
Springer
14 years 3 months ago
Joint Sulci Detection Using Graphical Models and Boosted Priors
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca ...
ICSE
2009
IEEE-ACM
14 years 3 months ago
Footprinter: Round-trip engineering via scenario and state based models
In model-driven software development, while scenariobased models are closer to distributed system requirements, state-based models are suitable for code generation. Our tool ‘Fo...
Ankit Goel, Bikram Sengupta, Abhik Roychoudhury
NAACL
2010
13 years 6 months ago
Integrating Joint n-gram Features into a Discriminative Training Framework
Phonetic string transduction problems, such as letter-to-phoneme conversion and name transliteration, have recently received much attention in the NLP community. In the past few y...
Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...
NIPS
2007
13 years 10 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ICCV
2007
IEEE
14 years 10 months ago
3D generic object categorization, localization and pose estimation
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
Silvio Savarese, Fei-Fei Li 0002