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» Complexity of Inference in Graphical Models
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EMMCVPR
2007
Springer
14 years 3 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
CVPR
2009
IEEE
15 years 4 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
ICML
2004
IEEE
14 years 9 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
CP
2004
Springer
14 years 2 months ago
Leveraging the Learning Power of Examples in Automated Constraint Acquisition
Constraint programming is rapidly becoming the technology of choice for modeling and solving complex combinatorial problems. However, users of constraint programming technology nee...
Christian Bessière, Remi Coletta, Eugene C....
ICRE
1996
IEEE
14 years 1 months ago
A facilitator method for upstream design activities with diverse stakeholders
This paper presents a method that can be used for the elicitation and speci cation of requirements and high-level design. It supports stakeholder-based modeling, rapid feasibility...
Regina M. Gonzales, Alexander L. Wolf