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KI
2005
Springer
15 years 9 months ago
Selecting What Is Important: Training Visual Attention
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
Simone Frintrop, Gerriet Backer, Erich Rome
SETN
2010
Springer
15 years 1 months ago
Visual Tracking by Adaptive Kalman Filtering and Mean Shift
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
Vasileios Karavasilis, Christophoros Nikou, Aristi...
ICCAD
2005
IEEE
98views Hardware» more  ICCAD 2005»
16 years 29 days ago
Clustering for processing rate optimization
Clustering (or partitioning) is a crucial step between logic synthesis and physical design in the layout of a large scale design. A design verified at the logic synthesis level m...
Chuan Lin, Jia Wang, Hai Zhou
ICPP
2006
IEEE
15 years 10 months ago
Managing Risk of Inaccurate Runtime Estimates for Deadline Constrained Job Admission Control in Clusters
The advent of service-oriented Grid computing has resulted in the need for Grid resources such as clusters to enforce user-specific service needs and expectations. Service Level ...
Chee Shin Yeo, Rajkumar Buyya
AUSDM
2008
Springer
230views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Combining Structure and Content Similarities for XML Document Clustering
This paper proposes a clustering approach that explores both the content and the structure of XML documents for determining similarity among them. Assuming that the content and th...
Tien Tran, Richi Nayak, Peter Bruza