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» Boosting Optimal Logical Patterns Using Noisy Data
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 10 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
CVPR
2009
IEEE
15 years 3 months ago
LidarBoost: Depth Superresolution for ToF 3D Shape Scanning
Depth maps captured with time-of-flight cameras have very low data quality: the image resolution is rather limited and the level of random noise contained in the depth maps is v...
Sebastian Schuon (Stanford University), Christian ...
PR
2006
108views more  PR 2006»
13 years 8 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
IJCAI
2007
13 years 10 months ago
Ensembles of Partially Trained SVMs with Multiplicative Updates
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
Ivor W. Tsang, James T. Kwok
ASIACRYPT
2001
Springer
14 years 1 months ago
A Compact Rijndael Hardware Architecture with S-Box Optimization
Compact and high-speed hardware architectures and logic optimization methods for the AES algorithm Rijndael are described. Encryption and decryption data paths are combined and all...
Akashi Satoh, Sumio Morioka, Kohji Takano, Seiji M...