102 search results - page 7 / 21 » Discriminative Training of Gaussian Mixtures for Image Objec... |
92
Voted
ICIAR
2009
Springer
15 years 2 months ago
2009
Springer
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
NIPS
1998
14 years 11 months ago
1998
This paper describes a simple and efficient method to make template-based object classification invariant to in-plane rotations. The task is divided into two parts: orientation di...
ICIP
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
82
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
PRL
2011
14 years 4 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...