Sciweavers

766 search results - page 63 / 154
» Gaussian Process Models of Spatial Aggregation Algorithms
Sort
View
CVPR
2012
IEEE
11 years 11 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
ICASSP
2009
IEEE
14 years 3 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
ICAT
2006
IEEE
14 years 3 months ago
Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash
Abstract. In this paper, MM-Model is presented for real-time simulation of 3D deformable objects on both global level and local region. This model consists of a deformable centerli...
Shaoting Zhang, Lixu Gu, Weiming Liang, Jingsi Zha...
SIGMOD
2003
ACM
134views Database» more  SIGMOD 2003»
14 years 9 months ago
Location-based Spatial Queries
In this paper we propose an approach that enables mobile clients to determine the validity of previous queries based on their current locations. In order to make this possible, th...
Jun Zhang, Manli Zhu, Dimitris Papadias, Yufei Tao...
ICIP
2008
IEEE
14 years 3 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä