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ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
14 years 8 months ago
Deformable robot motion planning in a reduced-dimension configuration space
Abstract-- Motion planning of deformable objects is challenging due to the high degrees-of-freedom inherent in deformation as well as the computational cost of producing physically...
Arthur Mahoney, Joshua Bross, David Johnson
CVPR
2004
IEEE
16 years 25 days ago
Dual-Space Linear Discriminant Analysis for Face Recognition
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Xiaogang Wang, Xiaoou Tang
AI
2005
Springer
14 years 10 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda
KDD
1997
ACM
161views Data Mining» more  KDD 1997»
15 years 3 months ago
Automated Discovery of Active Motifs in Three Dimensional Molecules
In this paper 1 we present a method for discovering approximately common motifs (also known as active motifs) in three dimensional (3D) molecules. Each node in a molecule is repre...
Xiong Wang, Jason Tsong-Li Wang, Dennis Shasha, Br...
DCG
2008
104views more  DCG 2008»
14 years 11 months ago
Finding the Homology of Submanifolds with High Confidence from Random Samples
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Partha Niyogi, Stephen Smale, Shmuel Weinberger