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AIR
2000
91views more  AIR 2000»
15 years 2 months ago
PlanMine: Predicting Plan Failures Using Sequence Mining
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because p...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 8 months ago
Choreogenetics: the generation of choreographic variants through genetic mutations and selection
In this paper, a genetic algorithm is introduced to generate variants of a choreographic sequence, which are then selected using different criteria. The mutation phase of the algo...
François-Joseph Lapointe
136
Voted
ICIP
2003
IEEE
16 years 4 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
ICPR
2004
IEEE
16 years 3 months ago
Reconstructing a Dynamic Surface from Video Sequences Using Graph Cuts in 4D Space-Time
This paper is concerned with the problem of dynamically reconstructing the 3D surface of an object undergoing non-rigid motion. The problem is cast as reconstructing a continuous ...
Narendra Ahuja, Ning Xu, Tianli Yu
104
Voted
ICPR
2008
IEEE
15 years 8 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...