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» Algorithms for time series knowledge mining
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EMNLP
2009
13 years 7 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
ICDM
2007
IEEE
227views Data Mining» more  ICDM 2007»
14 years 4 months ago
Optimal Subsequence Bijection
We consider the problem of elastic matching of sequences of real numbers. Since both a query and a target sequence may be noisy, i.e., contain some outlier elements, it is desirab...
Longin Jan Latecki, Qiang Wang, Suzan Koknar-Tezel...
CIKM
2008
Springer
13 years 11 months ago
The query-flow graph: model and applications
Query logs record the queries and the actions of the users of search engines, and as such they contain valuable information about the interests, the preferences, and the behavior ...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, De...
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 4 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
TASLP
2008
100views more  TASLP 2008»
13 years 9 months ago
Noise Tracking Using DFT Domain Subspace Decompositions
All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in a...
Richard C. Hendriks, Jesper Jensen, Richard Heusde...