CVPR
2012
IEEE
11 years 6 months ago
2012
IEEE
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
BMEI
2009
IEEE
13 years 2 months ago
2009
IEEE
Novel approach for statistical inference in survival analysis based on factor or dichotomic variables is proposed. We are seeking for the most informative finitely linear combinat...
SYNTHESE
2008
13 years 4 months ago
2008
This article goes to the foundations of Statistical Inference through a review of Carnap's logic theory of induction. From this point of view, it brings another solution to t...
NIPS
2007
13 years 5 months ago
2007
Markov jump processes play an important role in a large number of application domains. However, realistic systems are analytically intractable and they have traditionally been ana...
IJCAI
2007
13 years 5 months ago
2007
This paper develops a statistical inference approach, Bayesian Tensor Inference, for style transformation between photo images and sketch images of human faces. Motivated by the r...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
ISIPTA
2003
IEEE
13 years 9 months ago
2003
IEEE
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
ISRR
2005
Springer
13 years 9 months ago
2005
Springer
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
ISIPTA
2005
IEEE
13 years 9 months ago
2005
IEEE
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...