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ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 7 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
14 years 3 months ago
An SVM Framework for Genre-Independent Scene Change Detection
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...
SBIA
1995
Springer
14 years 17 days ago
Modeling the Influence of Non-Changing Quantities
ion Framework for Compositional Modeling 36 Diane Chi and Yumi Iwasaki Model Decomposition and Simulation 45 Daniel J. Clancy and Benjamin Kuipers A Distance Measure for Attention ...
Bert Bredeweg, Kees de Koning, Cis Schut
SIGGRAPH
1999
ACM
14 years 1 months ago
Modeling and Rendering of Weathered Stone
Stone is widespread in its use as a building material and artistic medium. One of its most remarkable qualities is that it changes appearance as it interacts with the environment....
Julie Dorsey, Alan Edelman, Henrik Wann Jensen, Ju...
JAIR
2008
148views more  JAIR 2008»
13 years 9 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang