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ECML
2006
Springer
15 years 3 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
ICTAI
2010
IEEE
14 years 9 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
ICPR
2002
IEEE
15 years 4 months ago
Hand Pose Recognition Using Curvature Scale Space
In this paper, we present a novel feature extraction approach based on Curvature Scale Space (CSS) for translation, scale, and rotation invariant recognition of hand poses. First,...
Chin-Chen Chang, I-Yen Chen, Yea-Shuan Huang
ISNN
2011
Springer
14 years 2 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
LREC
2010
199views Education» more  LREC 2010»
15 years 1 months ago
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
Determining semantic relatedness between words or concepts is a fundamental process to many Natural Language Processing applications. Approaches for this task typically make use o...
Ziqi Zhang, Anna Lisa Gentile, Lei Xia, José...