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SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 3 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
ISVC
2009
Springer
16 years 1 months ago
LightShop: An Interactive Lighting System Incorporating the 2D Image Editing Paradigm
Lighting is a fundamental and important process in the 3D animation pipeline. Conventional lighting workflow is time-consuming and labor-intensive. A user must fiddle with a rang...
Younghui Kim, Junyong Noh
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
16 years 22 days ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi
JCDL
2006
ACM
133views Education» more  JCDL 2006»
16 years 17 days ago
Repository software evaluation using the audit checklist for certification of trusted digital repositories
The NDIIPP ECHO DEPository project [1] digital repository evaluation will use an augmented version of the draft Audit Checklist for Certification of Trusted Digital Repositories (...
Joanne Kaczmarek, Thomas G. Habing, Janet Eke
OTM
2005
Springer
16 years 2 days ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee