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» Machine Learning with Data Dependent Hypothesis Classes
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AAAI
2010
13 years 5 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
ECML
2006
Springer
14 years 10 days ago
The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces
Minimum volume covering ellipsoid estimation is important in areas such as systems identification, control, video tracking, sensor management, and novelty detection. It is well kno...
Alexander N. Dolia, Tijl De Bie, Christopher J. Ha...
WWW
2005
ACM
14 years 9 months ago
Web data extraction based on partial tree alignment
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
Yanhong Zhai, Bing Liu
ICASSP
2008
IEEE
14 years 3 months ago
A robust method for QRS detection based on modified p-spectrum
In this paper, we propose a robust method based on the modi ed p-spectrum to detect heart beats in ECG signals, which is also referred as QRS detection in the literature. QRS dete...
Peng Qiu, K. J. Ray Liu
AI
2011
Springer
13 years 8 days ago
Subspace Mapping of Noisy Text Documents
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...