PCM
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. In this paper, we propose a new region-based image matching method to find the user defined regions in other images. We use color histogram and SAR (simultaneous autore...
CBSE
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. Predicting the performance of component-based applications is difficult due to the complexity of the underlying component technology. This problem is exacerbated when a m...
ICMCS
2005
IEEE
14 years 6 months ago
2005
IEEE
Temporal video segmentation is one of the fundamental and essential tasks in video processing, understanding and management. In this paper, we present an automatic method for segm...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper, two empirical models for the sequence-level distortion-rate performance of predictive video source encoding are proposed. They require very limited amount of empiri...
IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
ICRA
2008
IEEE
14 years 6 months ago
2008
IEEE
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
ICRA
2008
IEEE
14 years 6 months ago
2008
IEEE
— This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
ICASSP
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
SDM
2009
SIAM
14 years 9 months ago
2009
SIAM
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
ICML
2008
IEEE
15 years 1 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...