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IJCNN
2006
IEEE
15 years 9 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
PSIVT
2009
Springer
187views Multimedia» more  PSIVT 2009»
15 years 9 months ago
Video-Based Motion Capturing for Skeleton-Based 3D Models
In this paper, a semi-automatic method to capture motion data from a single-camera video is proposed. The input video is first segmented and analyzed, and a 3D character model wit...
Liang-Yu Shih, Bing-Yu Chen, Ja-Ling Wu
ESWA
2008
124views more  ESWA 2008»
15 years 3 months ago
A hybrid financial analysis model for business failure prediction
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
Shi-Ming Huang, Chih-Fong Tsai, David C. Yen, Yin-...
CVPR
2006
IEEE
16 years 5 months ago
Model Order Selection and Cue Combination for Image Segmentation
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...
AMOST
2005
ACM
15 years 9 months ago
A simulation model of a multi-server EJB system
Despite the fact that EJB (Enterprise Java Beans) is a widely used technology, research in the area of performance modelling of EJB application servers is quite sparse. This paper...
David McGuinness, Liam Murphy