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» Methods for Dynamic Classifier Selection
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CVPR
2005
IEEE
14 years 3 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
ECML
2006
Springer
14 years 1 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
CSL
2008
Springer
13 years 12 months ago
An Optimal Strategy Improvement Algorithm for Solving Parity and Payoff Games
This paper presents a novel strategy improvement algorithm for parity and payoff games, which is guaranteed to select, in each improvement step, an optimal combination of local str...
Sven Schewe
LREC
2010
309views Education» more  LREC 2010»
13 years 11 months ago
Comment Extraction from Blog Posts and Its Applications to Opinion Mining
Blog posts containing many personal experiences or perspectives toward specific subjects are useful. Blogs allow readers to interact with bloggers by placing comments on specific ...
Huan-An Kao, Hsin-Hsi Chen
BMEI
2009
IEEE
13 years 11 months ago
Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images
Cell enumeration in peripheral blood smears and cell are widely applied in biological and pathological practice. Not every area in the smear is appropriate for enumeration due to ...
Wei Xiong, S. H. Ong, Christina Kang, Joo-Hwee Lim...