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» Domain Adaptation: A Small Sample Statistical Approach
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SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 5 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
158
Voted
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 7 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
ICIP
2002
IEEE
16 years 5 months ago
Multiresolution 3D mesh compression
In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete ...
Frédéric Payan, Marc Antonini
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 9 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
CVPR
2001
IEEE
16 years 6 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones