Sciweavers

28 search results - page 1 / 6
» Variance Component Estimation in Performance Characteristics...
Sort
View
DAGM
2003
Springer
13 years 9 months ago
Variance Component Estimation in Performance Characteristics Applied to Feature Extraction Procedures
This paper proposes variance component estimation (VCE) for empirical quality evaluation in computer vision. An outline is given for the scope of VCE in the context of quality eval...
Marc Luxen
ICIP
2008
IEEE
14 years 6 months ago
Estimation and representation of accumulated motion characteristics for semantic event detection
In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be dire...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
IJCNN
2006
IEEE
13 years 10 months ago
Extraction of Components with Structured Variance
Abstract— We present a method for exploratory data analysis of large spatiotemporal data sets such as global longtime climate measurements, extending our previous work on semibli...
Alexander Ilin, Harri Valpola, Erkki Oja
CVPR
1999
IEEE
14 years 6 months ago
Simultaneous Extraction of Functional Face Subspaces
Facial variation divides into a number of functional subspaces. An improved method of measuring these was designed, within the space defined by an Appearance Model. Initial estima...
Nicholas Costen, Timothy F. Cootes, Gareth J. Edwa...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 2 months ago
Extracting general-purpose features from LIDAR data
— The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental component of featurebased mapping and SLAM systems. Existing detectors tend to exploit ...
Yangming Li, Edwin B. Olson