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PVLDB
2008
107views more  PVLDB 2008»
15 years 3 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
ICIP
2010
IEEE
15 years 2 months ago
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to neighbouring regions. Recently, a link shifti...
Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu
CVPR
2007
IEEE
16 years 6 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
ARTCOM
2009
IEEE
15 years 11 months ago
An Efficient Bidirectional Frame Prediction Using Particle Swarm Optimization Technique
—This paper presents a Novel Bidirectional motion estimation technique, which is based on the Particle swarm optimization algorithm. Particle swarm optimization (PSO) is a popula...
D. Ranganadham, Pavan Kumar Gorpuni
144
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ICML
2007
IEEE
16 years 5 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...