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» Using Data Mining to Estimate Missing Sensor Data
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CODES
2007
IEEE
16 years 9 days ago
Compile-time decided instruction cache locking using worst-case execution paths
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
Heiko Falk, Sascha Plazar, Henrik Theiling
IJON
2007
106views more  IJON 2007»
15 years 5 months ago
Forecasting the CATS benchmark with the Double Vector Quantization method
The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CAT...
Geoffroy Simon, John Aldo Lee, Marie Cottrell, Mic...
ICCV
2005
IEEE
16 years 8 months ago
Beyond Trees: Common-Factor Models for 2D Human Pose Recovery
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
Xiangyang Lan, Daniel P. Huttenlocher
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
16 years 6 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...