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» Semi-Supervised Dimensionality Reduction
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GECCO
2006
Springer
265views Optimization» more  GECCO 2006»
15 years 7 months ago
Cutting stock waste reduction using genetic algorithms
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
Yaser M. A. Khalifa, O. Salem, A. Shahin
188
Voted
IJCAI
1989
15 years 5 months ago
Motion Planning of Multi-Joint Robotic Arm with Topological Dimension Reduction Method
This paper explores the realization of robotic arm motion planning, especially Findpath Problem, which is a basic motion planning problem that arises in the development of robotic...
Bo Zhang, Ling Zhang, Tian Zhang
CVPR
2005
IEEE
16 years 5 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
Hongcheng Wang, Narendra Ahuja
136
Voted
CACM
2010
104views more  CACM 2010»
15 years 3 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle
ICCV
2007
IEEE
16 years 5 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...