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» Measuring empirical computational complexity
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NJC
2006
125views more  NJC 2006»
15 years 6 months ago
PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms
Abstract. We present a new parallel computation model called the Parallel ResourceOptimal computation model. PRO is a framework being proposed to enable the design of efficient and...
Assefaw Hadish Gebremedhin, Mohamed Essaïdi, ...
MM
2009
ACM
196views Multimedia» more  MM 2009»
16 years 26 days ago
Mirror world navigation for mobile users based on augmented reality
Finding a destination in unfamiliar environments of complex office building or shopping mall has been always bothering us in daily life. Fine-scale directional guidance, a combina...
Patricia P. Wang, Tao Wang, Dayong Ding, Yimin Zha...
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 7 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
CVPR
2007
IEEE
16 years 8 months ago
Multi-scale Structural Saliency for Signature Detection
Detecting and segmenting free-form objects from cluttered backgrounds is a challenging problem in computer vision. Signature detection in document images is one classic example an...
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stef...
ICCV
2007
IEEE
16 years 8 months ago
Untangling Cycles for Contour Grouping
We introduce a novel topological formulation for contour grouping. Our grouping criterion, called untangling cycles, exploits the inherent topological 1D structure of salient cont...
Qihui Zhu, Gang Song, Jianbo Shi