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» Practical Preference Relations for Large Data Sets
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EUSFLAT
2009
142views Fuzzy Logic» more  EUSFLAT 2009»
14 years 9 months ago
Multi-Dimensional Scaling applied to Hierarchical Rule Systems
Abstract-- This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy together with the training patterns they cover. A standard multi-dime...
Thomas R. Gabriel, Kilian Thiel, Michael R. Bertho...
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
16 years 1 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
ISCAS
2008
IEEE
139views Hardware» more  ISCAS 2008»
15 years 6 months ago
Missing feature speech recognition in a meeting situation with maximum SNR beamforming
Abstract— Especially for tasks like automatic meeting transcription, it would be useful to automatically recognize speech also while multiple speakers are talking simultaneously....
Dorothea Kolossa, Shoko Araki, Marc Delcroix, Tomo...
ECOOP
2006
Springer
15 years 3 months ago
The Runtime Structure of Object Ownership
Object-oriented programs often require large heaps to run properly or meet performance goals. They use high-overhead collections, bulky data models, and large caches. Discovering t...
Nick Mitchell
ECCV
2006
Springer
15 years 1 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia