ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
Recently there has been interest in structured discriminative models for speech recognition. In these models sentence posteriors are directly modelled, given a set of features ext...
ICASSP
2011
IEEE
2011
IEEE
Beyond bag of words: Combining generative and discriminative models for natural scene categorization
13 years 2 months ago
This paper proposes a simple yet new and effective framework by combining generative model and discriminative model for natural scene categorization. A state-of-the-art approach f...
PRL
2011
13 years 5 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
IJCV
2006
13 years 10 months ago
2006
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
NIPS
2001
14 years 4 days ago
2001
In many scientific and engineering applications, detecting and understanding differences between two groups of examples can be reduced to a classical problem of training a classif...
NIPS
2004
14 years 4 days ago
2004
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
EMNLP
2006
14 years 4 days ago
2006
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
ECML
2006
Springer
14 years 2 months ago
2006
Springer
This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are sel...
AMR
2006
Springer
14 years 2 months ago
2006
Springer
This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval pe...
DIS
2004
Springer
14 years 4 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...