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ICML
2010
IEEE
13 years 10 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
IJCV
2008
188views more  IJCV 2008»
13 years 9 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
INFORMATICALT
2006
116views more  INFORMATICALT 2006»
13 years 9 months ago
Cache-based Statistical Language Models of English and Highly Inflected Lithuanian
This paper investigates a variety of statistical cache-based language models built upon three corpora: English, Lithuanian, and Lithuanian base forms. The impact of the cache size,...
Airenas Vaiciunas, Gailius Raskinis
JMM2
2006
145views more  JMM2 2006»
13 years 9 months ago
Improved Active Shape Model for Facial Feature Extraction in Color Images
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...
JCIT
2007
158views more  JCIT 2007»
13 years 9 months ago
A Guidance Process for the Selection of Business Process Modelling Techniques for the Revised Business Process Reengineering
Business Process Reengineering is a reverse design process that allows for radical improvement in quality, service, cycle times, productivity and cost for a specific market or cus...
Leila Jamel Menzli, Sonia Ayachi Ghannouchi, Henda...