2992 search results - page 115 / 599 » Semantic Distance Measures |
155
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SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
142
Voted
FECS
2006
15 years 5 months ago
2006
- This paper presents the results of a PhD thesis research, with an innovative proposal for the development of a Technical Laboratory Disciplines in Electrical and Computing Engine...
147
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APGV
2010
ACM
15 years 5 months ago
2010
ACM
This paper presents a psychophysical analysis of the discrimination thresholds of human faces that are varied along different directions in Face Space. Generated by a 3D Morphable...
127
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JUCS
2007
15 years 3 months ago
2007
: Student satisfaction with distance learning is impacted by a variety of factors, including interaction with the instructor and the structure of the course. Satisfaction with dist...
233
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ICDE
2007
IEEE
16 years 5 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...