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» Data Modelling in Complex Application Domains
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CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 9 days ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
MMM
2008
Springer
158views Multimedia» more  MMM 2008»
15 years 10 months ago
Similarity Search in Multimedia Time Series Data Using Amplitude-Level Features
Effective similarity search in multi-media time series such as video or audio sequences is important for content-based multi-media retrieval applications. We propose a framework th...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ACMICEC
2005
ACM
151views ECommerce» more  ACMICEC 2005»
15 years 9 months ago
Product knowledge reasoning: a DL-based approach
In order to capture the full fledge semantic of complicated product data model, the expressive language ALCNHR+ K(D) is introduced. It cannot only be able to represent knowledge a...
Nizamuddin Channa, Shanping Li, Xiangjun Fu
ATAL
2006
Springer
15 years 7 months ago
Robust recognition of physical team behaviors using spatio-temporal models
This paper presents a framework for robustly recognizing physical team behaviors by exploiting spatio-temporal patterns. Agent team behaviors in athletic and military domains typi...
Gita Sukthankar, Katia P. Sycara
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 9 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong