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NECO
2008
116views more  NECO 2008»
15 years 6 months ago
A (Somewhat) New Solution to the Variable Binding Problem
To perform automatic, unconscious inference, the human brain must solve the "binding problem" by correctly grouping properties with objects. Temporal binding models like...
Leon Barrett, Jerome Feldman, Liam Mac Dermed
188
Voted
IJCV
2000
161views more  IJCV 2000»
15 years 6 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
180
Voted
ICML
2008
IEEE
16 years 7 months ago
Statistical models for partial membership
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
203
Voted
ICML
2001
IEEE
16 years 7 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
173
Voted
ICCAD
2003
IEEE
122views Hardware» more  ICCAD 2003»
16 years 3 months ago
Weibull Based Analytical Waveform Model
Current CMOS technologies are characterized by interconnect lines with increased relative resistance w.r.t. driver output resistance. Designs generate signal waveshapes that are v...
Chirayu S. Amin, Florentin Dartu, Yehea I. Ismail