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CVPR
2004
IEEE
16 years 3 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
JDWM
2006
178views more  JDWM 2006»
15 years 1 months ago
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
ICASSP
2010
IEEE
15 years 1 months ago
Multi-class SVM optimization using MCE training with application to topic identification
This paper presents a minimum classification error (MCE) training approach for improving the accuracy of multi-class support vector machine (SVM) classifiers. We have applied th...
Timothy J. Hazen
SCALESPACE
2009
Springer
15 years 8 months ago
A Scale-Space Approach to Landmark Constrained Image Registration
Adding external knowledge improves the results for ill-posed problems. In this paper we present a new multi-level optimization framework for image registration when adding landmark...
Eldad Haber, Stefan Heldmann, Jan Modersitzki
DAC
1997
ACM
15 years 5 months ago
An Improved Algorithm for Minimum-Area Retiming
The concept of improving the timing behavior of a circuit by relocating flip-flops is called retiming and was first presented by Leiserson and Saxe. The ASTRA algorithm propose...
Naresh Maheshwari, Sachin S. Sapatnekar