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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 9 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
BTW
2003
Springer
110views Database» more  BTW 2003»
15 years 9 months ago
The IOP Approach to Enterprise Frameworks
Abstract: This paper introduces the Internet Operating Platform (IOP), an enterprise framework for large scale software development. In addition to obeying to important standards (...
Udo Nink, Stefan Schäfer
SGP
2004
15 years 6 months ago
Shape Segmentation Using Local Slippage Analysis
We propose a method for segmentation of 3D scanned shapes into simple geometric parts. Given an input point cloud, our method computes a set of components which possess one or mor...
Natasha Gelfand, Leonidas J. Guibas
156
Voted
IJCAI
2007
15 years 5 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
130
Voted
DATAMINE
2006
157views more  DATAMINE 2006»
15 years 3 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz