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PAMI
2006
143views more  PAMI 2006»
13 years 8 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
BMCBI
2004
143views more  BMCBI 2004»
13 years 8 months ago
Comparing functional annotation analyses with Catmap
Background: Ranked gene lists from microarray experiments are usually analysed by assigning significance to predefined gene categories, e.g., based on functional annotations. Tool...
Thomas Breslin, Patrik Edén, Morten Krogh
BCB
2010
175views Bioinformatics» more  BCB 2010»
13 years 3 months ago
Gene set analysis using principal components
We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
Isa Kemal Pakatci, Wei Wang, Leonard McMillan
CVPR
2008
IEEE
14 years 10 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 8 months ago
On the Implementation of the Probabilistic Logic Programming Language ProbLog
The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have...
Angelika Kimmig, Bart Demoen, Luc De Raedt, V&iacu...