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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 1 months 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 8 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