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» Learning Probabilistic Models of Relational Structure
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111
Voted
CVPR
2010
IEEE
15 years 9 months ago
Scalable Active Matching
In matching tasks in computer vision, and particularly in real-time tracking from video, there are generally strong priors available on absolute and relative correspondence locati...
Ankur Handa, Margarita Chli, Hauke Strasdat, Andre...
RE
2007
Springer
15 years 6 months ago
Secure and Dependable Patterns in Organizations: An Empirical Approach
Designing a secure and dependable system is not just a technical issue, it involves also a deep analysis of the organizational and the social environment in which the system will ...
Yudistira Asnar, Paolo Giorgini, Roberto Bonato, V...
111
Voted
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 26 days ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
148
Voted
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 2 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
112
Voted
ICCV
2007
IEEE
16 years 2 months ago
What Can Casual Walkers Tell Us About A 3D Scene?
An approach for incremental learning of a 3D scene from a single static video camera is presented in this paper. In particular, we exploit the presence of casual people walking in...
Diego Rother, Kedar A. Patwardhan, Guillermo Sapir...