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» The Structure Function and Distinguishable Models of Data
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ICML
2004
IEEE
14 years 8 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
JCISE
2002
117views more  JCISE 2002»
13 years 7 months ago
Memory Analysis of Solid Model Representations for Heterogeneous Objects
Methods to represent and exchange parts consisting of Functionally Graded Material (FGM) for Solid Freeform Fabrication (SFF) with Local Composition Control (LCC) are evaluated ba...
Todd R. Jackson, Wonjoon Cho, Nicholas M. Patrikal...
DESRIST
2010
Springer
154views Education» more  DESRIST 2010»
14 years 10 days ago
The Design of Focus Area Maturity Models
Maturity models are a well-known instrument to support the improvement of functional domains in IS, like software development or testing. While maturity models may share a common s...
Marlies van Steenbergen, Rik Bos, Sjaak Brinkkempe...
NIPS
2001
13 years 9 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
IJON
2011
186views more  IJON 2011»
12 years 11 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia