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ICML
2009
IEEE
14 years 9 months ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans
ADMA
2009
Springer
246views Data Mining» more  ADMA 2009»
14 years 2 months ago
Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
Yan Gao, Ming Yang, Alok N. Choudhary
ICONIP
2004
13 years 9 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
3DIM
2011
IEEE
12 years 8 months ago
Visual Hull from Imprecise Polyhedral Scene
—We present a framework to compute the visual hull of a polyhedral scene, in which the vertices of the polyhedra are given with some imprecision. Two kinds of visual event surfac...
Peng He, Abbas Edalat
ERCIMDL
2005
Springer
100views Education» more  ERCIMDL 2005»
14 years 1 months ago
Importance of HTML Structural Elements and Metadata in Automated Subject Classification
The aim of the study was to determine how significance indicators assigned to different Web page elements (internal metadata, title, headings, and main text) influence automated cl...
Koraljka Golub, Anders Ardö