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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 6 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
ECCV
2010
Springer
13 years 7 months ago
An Oriented Flux Symmetry Based Active Contour Model for Three Dimensional Vessel Segmentation
This paper proposes a novel approach to segment three dimensional curvilinear structures, particularly vessels in angiography, by inspecting the symmetry of image gradients. The pr...
VLDB
2001
ACM
109views Database» more  VLDB 2001»
13 years 9 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
DAGM
2007
Springer
13 years 10 months ago
A Fast and Reliable Coin Recognition System
This paper presents a reliable coin recognition system that is based on a registration approach. To optimally align two coins we search for a rotation in order to reach a maximal n...
Marco Reisert, Olaf Ronneberger, Hans Burkhardt
ICPR
2008
IEEE
13 years 11 months ago
Monocular multi-human detection using Augmented Histograms of Oriented Gradients
We introduce an Augmented Histograms of Oriented Gradients (AHOG) feature for human detection from a nonstatic camera. We increase the discriminating power of original Histograms ...
Cheng-Hsiung Chuang, Shih-Shinh Huang, Li-Chen Fu,...
CEC
2008
IEEE
13 years 11 months ago
An investigation on evolutionary gradient search for multi-objective optimization
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efficiency and r...
Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin ...
CEC
2008
IEEE
13 years 11 months ago
Memetic Gradient Search
—This paper reviews the different gradient-based schemes and the sources of gradient, their availability, precision and computational complexity, and explores the benefits of usi...
Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong ...
DCOSS
2009
Springer
13 years 11 months ago
Fast Self-stabilization for Gradients
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
CEC
2009
IEEE
13 years 11 months ago
Gradient estimation in global optimization algorithms
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
Megan Hazen, Maya R. Gupta