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» Using Prior Knowledge: Problems and Solutions
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CVPR
2003
IEEE
15 years 8 months ago
Bayesian Human Segmentation in Crowded Situations
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
Tao Zhao, Ramakant Nevatia
CAISE
2005
Springer
15 years 8 months ago
Query Processing Using Ontologies
Abstract. Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for comple...
Chokri Ben Necib, Johann Christoph Freytag
128
Voted
IJCNN
2008
IEEE
15 years 9 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
SIAMSC
2008
182views more  SIAMSC 2008»
15 years 3 months ago
A Distributed SDP Approach for Large-Scale Noisy Anchor-Free Graph Realization with Applications to Molecular Conformation
We propose a distributed algorithm for solving Euclidean metric realization problems arising from large 3D graphs, using only noisy distance information, and without any prior kno...
Pratik Biswas, Kim-Chuan Toh, Yinyu Ye
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
15 years 9 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet