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» Optimizing Local Probability Models for Statistical Parsing
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ICCV
2011
IEEE
14 years 6 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 11 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
SCALESPACE
1999
Springer
15 years 10 months ago
Fast Marching to Moving Object Location
In this paper we address two important problems in motion analysis: the detection of moving objects and their localization. Statistical and level set approaches are adopted in orde...
Eftychios Sifakis, George Tziritas
NIPS
2003
15 years 7 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
ICIP
2003
IEEE
16 years 7 months ago
Scene cut detection using the colored pattern appearance model
In this paper, we propose to use the Colored Pattern Appearance Model (CPAM) as a content representation for video scene break detection. This model represents a scene by means of...
Kin-Wai Sze, Kin-Man Lam, Guoping Qiu