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» Reference Point Approaches and Objective Ranking
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EDBT
2006
ACM
129views Database» more  EDBT 2006»
14 years 7 months ago
Efficient Quantile Retrieval on Multi-dimensional Data
Given a set of N multi-dimensional points, we study the computation of -quantiles according to a ranking function F, which is provided by the user at runtime. Specifically, F compu...
Man Lung Yiu, Nikos Mamoulis, Yufei Tao
ICVGIP
2008
13 years 8 months ago
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
Adam Herout, Pavel Zemcík, Roman Jurá...
EMO
2006
Springer
170views Optimization» more  EMO 2006»
13 years 11 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
CVPR
2012
IEEE
11 years 9 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
TVCG
1998
143views more  TVCG 1998»
13 years 7 months ago
Calibration-Free Augmented Reality
We describe the design and implementation of a videobasedaugmentedreality system capableof overlayingthreedimensional graphical objects on live video of dynamic environments. The ...
Kiriakos N. Kutulakos, James R. Vallino