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HAIS
2010
Springer
13 years 7 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
ICIP
2000
IEEE
14 years 10 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
14 years 3 months ago
A Kalman filter for robust outlier detection
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
IJCAI
2003
13 years 10 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
KI
2006
Springer
13 years 9 months ago
Classification of Skewed and Homogenous Document Corpora with Class-Based and Corpus-Based Keywords
In this paper, we examine the performance of the two policies for keyword selection over standard document corpora of varying properties. While in corpus-based policy a single set ...
Arzucan Özgür, Tunga Güngör