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BMVC
2010
14 years 9 months ago
Accounting for the Relative Importance of Objects in Image Retrieval
We introduce a method for image retrieval that leverages the implicit information about object importance conveyed by the list of keyword tags a person supplies for an image. We p...
Sung Ju Hwang, Kristen Grauman
ML
2012
ACM
388views Machine Learning» more  ML 2012»
13 years 7 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
PAMI
2012
13 years 2 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
AINA
2008
IEEE
15 years 6 months ago
Exploiting Frequent Episodes in Weighted Suffix Tree to Improve Intrusion Detection System
In this paper we proposed a weighted suffix tree and find out it can improve the Intrusion Detection System (IDS). We firstly focus on the analysis of computer kernel system call,...
Min-Feng Wang, Yen-Ching Wu, Meng-Feng Tsai
DGCI
2003
Springer
15 years 4 months ago
Geodesic Object Representation and Recognition
This paper describes a shape signature that captures the intrinsic geometric structure of 3D objects. The primary motivation of the proposed approach is to encode a 3D shape into a...
A. Ben Hamza, Hamid Krim