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» Sequential sparsification for change detection
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IOR
2011
96views more  IOR 2011»
14 years 6 months ago
On the Minimax Complexity of Pricing in a Changing Environment
We consider a pricing problem in an environment where the customers’ willingness-to-pay (WtP) distribution may change at some point over the selling horizon. Customers arrive se...
Omar Besbes, Assaf J. Zeevi
112
Voted
DAWAK
2008
Springer
15 years 1 months ago
Mining Multidimensional Sequential Patterns over Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
Chedy Raïssi, Marc Plantevit
107
Voted
PAMI
2010
161views more  PAMI 2010»
14 years 10 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
KESAMSTA
2009
Springer
15 years 4 months ago
Structural Changes in an Email-Based Social Network
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
Krzysztof Juszczyszyn, Katarzyna Musial
PAMI
2008
166views more  PAMI 2008»
14 years 11 months ago
Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing
This paper describes a method for robust real time pattern matching. We first introduce a family of image distance measures, the "Image Hamming Distance Family". Members ...
Ofir Pele, Michael Werman