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» Optimizing Local Probability Models for Statistical Parsing
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ICCV
2011
IEEE
14 years 1 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 7 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 6 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 3 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 3 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