Sciweavers

619 search results - page 83 / 124
» Experimental Evaluation of Hierarchical Hidden Markov Models
Sort
View
INTERSPEECH
2010
14 years 8 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
ICDE
2000
IEEE
158views Database» more  ICDE 2000»
16 years 3 months ago
The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses
: Many companies have recognized the strategic importance of the knowledge hidden in their large databases and have built data warehouses. Typically, updates are collected and appl...
Hans-Peter Kriegel, Jörn Kohlhammer, Martin E...
96
Voted
AI
2004
Springer
15 years 1 months ago
Hierarchical model-based diagnosis based on structural abstraction
al Abstraction Luca Chittaro and Roberto Ranon Department of Mathematics and Computer Science, University of Udine, via delle Scienze 206, 33100 Udine, Italy ion has been advocat...
Luca Chittaro, Roberto Ranon
CVPR
2000
IEEE
16 years 4 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
Lin Zhou, Chandra Kambhamettu
CVPR
2010
IEEE
15 years 9 months ago
Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Prabin Bariya, Ko Nishino