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EMMCVPR
2001
Springer
15 years 7 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
ACCV
1998
Springer
15 years 7 months ago
Motion Compensated Color Video Classification Using Markov Random Fields
Abstract. This paper deals with the classification of color video sequences using Markov Random Fields (MRF) taking into account motion information. The theoretical framework relie...
Zoltan Kato, Ting-Chuen Pong, John Chung-Mong Lee
CP
2006
Springer
15 years 6 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
AAAI
2008
15 years 5 months ago
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
Minmin Chen, Yixin Chen, Michael R. Brent
AINA
2006
IEEE
15 years 5 months ago
Distributed Tuning Attempt Probability for Data Gathering in Random Access Wireless Sensor Networks
In this paper, we study the problem of data gathering in multi-hop wireless sensor networks. To tackle the high degree of channel contention and high probability of packet collisi...
Haibo Zhang, Hong Shen