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» Missing Data Estimation Using Polynomial Kernels
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ECML
2007
Springer
15 years 6 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
JSS
2006
78views more  JSS 2006»
15 years 14 days ago
An empirical study of process-related attributes in segmented software cost-estimation relationships
Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the hist...
Juan Jose Cuadrado-Gallego, Miguel-Ángel Si...
CCA
2009
Springer
15 years 5 months ago
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interv
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In this case, ba...
Vladik Kreinovich
ICCV
1999
IEEE
15 years 4 months ago
Epipolar Geometry Estimation by Tensor Voting in 8D
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
Chi-Keung Tang, Gérard G. Medioni, Mi-Suen ...
CASES
2006
ACM
15 years 6 months ago
Limitations of special-purpose instructions for similarity measurements in media SIMD extensions
Microprocessor vendors have provided special-purpose instructions such as psadbw and pdist to accelerate the sumof-absolute differences (SAD) similarity measurement. The usefulne...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...