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» Selectivity Estimation using Probabilistic Models
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IJCV
2002
133views more  IJCV 2002»
14 years 11 months ago
Probabilistic Tracking with Exemplars in a Metric Space
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
Kentaro Toyama, Andrew Blake
NIPS
2004
15 years 1 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang
ATAL
2010
Springer
15 years 27 days ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
ISSS
1997
IEEE
102views Hardware» more  ISSS 1997»
15 years 4 months ago
An Efficient Model for DSP Code Generation: Performance, Code Size, Estimated Energy
This paper presents a model for simultaneous instruction selection, compaction, and register allocation. An arc mapping model along with logical propositions is used to create an ...
Catherine H. Gebotys
CVPR
2009
IEEE
15 years 6 months ago
Robust shadow and illumination estimation using a mixture model
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
Alexandros Panagopoulos, Dimitris Samaras, Nikos P...